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Pipeline run

6b935fb7-2457-4d31-ae5e-12e4d1b45b35

Pipeline LLM cost (USD)
API 1: $0.0116 API 2: $0.0006 API 3: $0.0000 Total: $0.0122

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Data Engineering / Distributed Systems
Design and run low-latency batch/stream data pipelines for mission-critical apps, then keep them reliable and scalable by tuning tradeoffs, setting SLOs, handling incidents, and mentoring engineers.
"Architect end-to-end real-time and batch data processing pipelines"
Tech stack maturity
Modern Cloud Native
The stack centers on cloud-managed and cloud-native streaming technologies such as Apache Beam/Flink/Kafka, Kubernetes/EKS, AWS/GCP services, and observability tooling, which strongly aligns with modern cloud-native architectures.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (47)
Distributed Systems Data Structures Algorithms Concurrency Distributed Computing Go Java Apache Kafka Pub/Sub Apache Beam Apache Flink Google Cloud Dataflow Kubernetes AWS Lambda GCP Cloud Functions CI/CD Google Cloud Platform AWS BigQuery S3 GCS IAM GKE EKS Prometheus +22
Skill cluster (10 dimension groups, role-scoped)
Observability and Operations
Prometheus Grafana SLOs
Cloud Provider Platforms
Google Cloud Platform AWS
Cloud Platforms
S3
Cloud Platforms & Managed Services
AWS Lambda
Container Orchestration Platforms
Kubernetes
Go Language and Toolchain
Go
Java Language and JVM
Java
Observability and Diagnostics
OpenTelemetry
Performance and Scalability Tuning
Distributed Systems
Cross-cutting / unaligned
Data Structures Algorithms Concurrency Distributed Computing Apache Kafka Pub/Sub Apache Beam Apache Flink Google Cloud Dataflow GCP Cloud Functions CI/CD BigQuery GCS IAM GKE EKS IoT Telemetry Time-Series Databases ClickHouse Apache Druid InfluxDB Schema Evolution Data Contracts Change Data Capture Event Sourcing Real-Time Analytics Streaming Batch Processing Event-Driven Architecture Backpressure Checkpointing Windowing Semantics SLAs Geospatial Data
Show KRA description ↓
• Lead the Design and Evolution of Scalable Data Systems: Architect end-to-end real-time and batch data processing pipelines that power mission-critical applications such as trip intelligence, predictive diagnostics, and geofence-based alerts. Drive system-level design decisions and guide the team through technology tradeoffs. • Mentor and Uplift the Engineering Team: Act as a technical mentor to junior and mid-level engineers. Conduct design reviews, help grow data engineering best practices, and champion engineering excellence across the team. • Partner Across the Stack and the Org: Collaborate cross-functionally with firmware, frontend, product, and data science teams to align on roadmap goals. Translate ambiguous business requirements into scalable, fault-tolerant data systems with high availability and performance guarantees. • Drive Innovation and Product Impact: Shape the technical vision for real-time and near-real-time data applications. Identify and introduce cutting-edge open-source or cloud-native tools that improve system reliability, observability, and cost efficiency. • Operationalize Systems at Scale: Own the reliability, scalability, and performance of the pipelines you and the team build. Lead incident postmortems, drive long-term stability improvements, and establish SLAs/SLOs that balance customer value with engineering complexity. • Contribute to Strategic Technical Direction: Provide thought leadership on evolving architectural patterns, such as transitioning from streaming-first to hybrid batch-stream systems for cost and scale efficiency. Proactively identify bottlenecks, tech debt, and scalability risks. • 9+ years of experience in software engineering with a strong emphasis on building and scaling distributed systems in production environments. • Deep understanding of computer science fundamentals including data structures, algorithms, concurrency, and distributed computing principles. • Proven expertise in designing, building, and maintaining large-scale, low-latency data systems for real-time and batch processing. • Hands-on experience with event-driven architectures and messaging systems like Apache Kafka, Pub/Sub, or equivalent technologies. • Strong proficiency in stream processing frameworks such as Apache Beam, Flink, or Google Cloud Dataflow, with a deep appreciation for time and windowing semantics, backpressure, and checkpointing. • Demonstrated ability to write production-grade code in Go or Java, following clean architecture principles and best practices in software design. • Solid experience with cloud-native infrastructure including Kubernetes, serverless compute (e.g., AWS Lambda, GCP Cloud Functions), and containerized deployments using CI/CD pipelines. • Proficiency with cloud platforms, especially Google Cloud Platform (GCP) or Amazon Web Services (AWS), and services like BigQuery, S3/GCS, IAM, and managed Kubernetes (GKE/EKS). • Familiarity with observability stacks (e.g., Prometheus, Grafana, OpenTelemetry) and an understanding of operational excellence in production environments. Ability to balance pragmatism with technical rigor, navigating ambiguity to design scalable and cost-effective solutions. • Passionate about building platforms that empower internal teams and deliver meaningful insights to customers, especially within the automotive, mobility, or IoT domains. • Strong communication and collaboration skills, with experience working closely across product, firmware, and analytics teams. • Experience architecting and building systems for large-scale IoT or telemetry-driven applications, including ingestion, enrichment, storage, and real-time analytics. • Deep expertise in both streaming and batch data processing paradigms, using tools such as Apache Kafka, Apache Flink, Apache Beam, or Google Cloud Dataflow. • Hands-on experience with cloud-native architectures on platforms like Google Cloud Platform (GCP), AWS, or Azure, leveraging services such as Pub/Sub, BigQuery, Cloud Functions, Kinesis etc. • Experience working with high-performance time-series or analytical databases such as ClickHouse, Apache Druid, or InfluxDB, optimized for millisecond-level insights at scale. • Proven ability to design resilient, fault-tolerant pipelines that ensure data quality, integrity, and observability in high-throughput environments. • Familiarity with schema evolution, data contracts, and streaming-first data architecture patterns (e.g., Change Data Capture, event sourcing). • Experience working with geospatial data, telemetry, or real-time alerting systems is a strong plus. • Contributions to open-source projects in the data or infrastructure ecosystem, or active participation in relevant communities, are valued.

Signals

Skill data-engineer
0.28
Alias backend-engineer
1.00
KRA data-engineer
0.68

Post-classification

Centroidupdated · n=4
Alias collision log
New-role queue
New skills captured20
New KRA capturedyes

Captured for admin review

Concurrency primary Streaming / Real-Time Data Engineer pending
Distributed Computing primary Streaming / Real-Time Data Engineer pending
Google Cloud Dataflow primary Streaming / Real-Time Data Engineer pending
GCP Cloud Functions primary Streaming / Real-Time Data Engineer pending
GCS primary Streaming / Real-Time Data Engineer pending
GKE primary Streaming / Real-Time Data Engineer pending
IoT primary Streaming / Real-Time Data Engineer pending
Telemetry primary Streaming / Real-Time Data Engineer pending
Time-Series Databases primary Streaming / Real-Time Data Engineer pending
ClickHouse primary Streaming / Real-Time Data Engineer pending
Apache Druid primary Streaming / Real-Time Data Engineer pending
InfluxDB primary Streaming / Real-Time Data Engineer pending
Event Sourcing primary Streaming / Real-Time Data Engineer pending
Geospatial Data Streaming / Real-Time Data Engineer pending
Real-Time Analytics primary Streaming / Real-Time Data Engineer pending
Streaming primary Streaming / Real-Time Data Engineer pending
Batch Processing primary Streaming / Real-Time Data Engineer pending
Checkpointing primary Streaming / Real-Time Data Engineer pending
Windowing Semantics primary Streaming / Real-Time Data Engineer pending
SLAs primary Streaming / Real-Time Data Engineer pending
R&R fragment (sim 0.00) Streaming / Real-Time Data Engineer pending

• Lead the Design and Evolution of Scalable Data Systems: Architect end-to-end real-time and batch data processing pipelines that power mission-critical applications such as trip intelligence, predict…

Status: completed Created: 2026-05-27T15:13:51.059498Z Updated: 2026-06-12T16:45:29.390823Z API 3 duration: 122452 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Streaming / Real-Time Data Engineer

domain · Data Engineering & Analytics CASE DOMAIN

slug: streaming-real-time-data-engineer · id: 149 · source: db

Domain=Data Engineering & Analytics; The JD centers on architecting and operating real-time and batch data pipelines with Kafka, stream processing, low-latency systems, and reliability at scale, which best matches a Streaming / Real-Time Data Engineer.

Matched skills

Apache KafkaPub/SubApache BeamFlinkGoogle Cloud DataflowGoJavaevent-driven architecturesstream processingdistributed systemsbackpressurecheckpointingSLAs/SLOs

Matched dimensions

Real-time and batch data pipeline architectureDistributed systems scalabilityStreaming data processingSystem reliability and observabilityLow-latency data systemsCross-functional technical leadershipIncident management and operational excellenceCloud-native tool adoption

Matched KRAs

Lead the Design and Evolution of Scalable Data SystemsArchitect end-to-end real-time and batch data processing pipelinesMentor and Uplift the Engineering TeamConduct design reviewsPartner Across the Stack and the OrgTranslate ambiguous business requirements into scalable, fault-tolerant data systemsDrive Innovation and Product ImpactOwn the reliability, scalability, and performance of the pipelinesLead incident postmortemsEstablish SLAs/SLOs

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
6
Skipped

Job description

About Sibros Technologies

Who We Are

Sibros is accelerating the future of SDV excellence with its Deep Connected Platform™ that orchestrates full vehicle software update management, vehicle analytics, and remote commands in one integrated system. Adaptable to any vehicle architecture, Sibros’ platform meets stringent safety, security, and compliance standards, propelling OEMs to innovate new connected vehicle use cases across fleet management, predictive maintenance, data monetization, and beyond.

Learn more at www.sibros.tech.

Our Mission

Our mission is to help our customers get the most value out of their connected devices.

Follow us on

LinkedIn | Youtube | Instagram

About The Role

Job Title: Staff Software Engineer

Experience: 9 - 12 years

At Sibros, we are building the foundational data infrastructure that powers the software-defined future of mobility. One of our most impactful products—Deep Logger—enables rich, scalable, and intelligent data collection from connected vehicles, unlocking insights that were previously inaccessible.

Our platform ingests high-frequency telemetry, diagnostic signals, user behavior, and system health data from vehicles across the globe. We transform this into actionable intelligence through real-time analytics, geofence-driven alerting, and predictive modeling for use cases like trip intelligence, fault detection, battery health, and driver safety.

We are looking for a Staff Software Engineer to lead the architectural direction and technical execution of this platform as it scales to trillions of events per day across global fleets. Deep Logger is at the core of Sibros’ data platform, and the systems you build will directly influence the quality of insights we deliver to automotive OEMs and fleet operators.

As a Staff Engineer, your impact will go far beyond your own code. You will be expected to own complex initiatives end-to-end, serve as a technical mentor and thought partner to other engineers, and work closely with product, firmware, and data science teams to align on vision and roadmap. You’ll play a key role in setting the technical bar, influencing our broader engineering culture, and leading cross-functional problem solving on some of our hardest challenges.

This is a rare opportunity to drive innovation at the intersection of event-driven systems, real-time vehicle intelligence, and cloud-native scale—with real-world safety, performance, and reliability implications.

What You’ll Do

• Lead the Design and Evolution of Scalable Data Systems: Architect end-to-end real-time and batch data processing pipelines that power mission-critical applications such as trip intelligence, predictive diagnostics, and geofence-based alerts. Drive system-level design decisions and guide the team through technology tradeoffs.
• Mentor and Uplift the Engineering Team: Act as a technical mentor to junior and mid-level engineers. Conduct design reviews, help grow data engineering best practices, and champion engineering excellence across the team.
• Partner Across the Stack and the Org: Collaborate cross-functionally with firmware, frontend, product, and data science teams to align on roadmap goals. Translate ambiguous business requirements into scalable, fault-tolerant data systems with high availability and performance guarantees.
• Drive Innovation and Product Impact: Shape the technical vision for real-time and near-real-time data applications. Identify and introduce cutting-edge open-source or cloud-native tools that improve system reliability, observability, and cost efficiency.
• Operationalize Systems at Scale: Own the reliability, scalability, and performance of the pipelines you and the team build. Lead incident postmortems, drive long-term stability improvements, and establish SLAs/SLOs that balance customer value with engineering complexity.
• Contribute to Strategic Technical Direction: Provide thought leadership on evolving architectural patterns, such as transitioning from streaming-first to hybrid batch-stream systems for cost and scale efficiency. Proactively identify bottlenecks, tech debt, and scalability risks.


What You Should Know

• 9+ years of experience in software engineering with a strong emphasis on building and scaling distributed systems in production environments.
• Deep understanding of computer science fundamentals including data structures, algorithms, concurrency, and distributed computing principles.
• Proven expertise in designing, building, and maintaining large-scale, low-latency data systems for real-time and batch processing.
• Hands-on experience with event-driven architectures and messaging systems like Apache Kafka, Pub/Sub, or equivalent technologies.
• Strong proficiency in stream processing frameworks such as Apache Beam, Flink, or Google Cloud Dataflow, with a deep appreciation for time and windowing semantics, backpressure, and checkpointing.
• Demonstrated ability to write production-grade code in Go or Java, following clean architecture principles and best practices in software design.
• Solid experience with cloud-native infrastructure including Kubernetes, serverless compute (e.g., AWS Lambda, GCP Cloud Functions), and containerized deployments using CI/CD pipelines.
• Proficiency with cloud platforms, especially Google Cloud Platform (GCP) or Amazon Web Services (AWS), and services like BigQuery, S3/GCS, IAM, and managed Kubernetes (GKE/EKS).
• Familiarity with observability stacks (e.g., Prometheus, Grafana, OpenTelemetry) and an understanding of operational excellence in production environments. Ability to balance pragmatism with technical rigor, navigating ambiguity to design scalable and cost-effective solutions.
• Passionate about building platforms that empower internal teams and deliver meaningful insights to customers, especially within the automotive, mobility, or IoT domains.
• Strong communication and collaboration skills, with experience working closely across product, firmware, and analytics teams.


Preferred Qualifications

• Experience architecting and building systems for large-scale IoT or telemetry-driven applications, including ingestion, enrichment, storage, and real-time analytics.
• Deep expertise in both streaming and batch data processing paradigms, using tools such as Apache Kafka, Apache Flink, Apache Beam, or Google Cloud Dataflow.
• Hands-on experience with cloud-native architectures on platforms like Google Cloud Platform (GCP), AWS, or Azure, leveraging services such as Pub/Sub, BigQuery, Cloud Functions, Kinesis etc.
• Experience working with high-performance time-series or analytical databases such as ClickHouse, Apache Druid, or InfluxDB, optimized for millisecond-level insights at scale.
• Proven ability to design resilient, fault-tolerant pipelines that ensure data quality, integrity, and observability in high-throughput environments.
• Familiarity with schema evolution, data contracts, and streaming-first data architecture patterns (e.g., Change Data Capture, event sourcing).
• Experience working with geospatial data, telemetry, or real-time alerting systems is a strong plus.
• Contributions to open-source projects in the data or infrastructure ecosystem, or active participation in relevant communities, are valued.


What We Offer

• Competitive compensation package with performance incentives.
• A dynamic work environment with a flat hierarchy and the opportunity for rapid career advancement.
• Collaborate with a dynamic team that’s passionate about solving complex problems in the automotive IoT space.
• Access to continuous learning and development opportunities.
• Flexible working hours to accommodate different time zones.
• Comprehensive benefits package including health insurance and wellness programs.
• A culture that values innovation and promotes a work-life balance.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Distributed Systems Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Distributed Systems id=1369 · distributed-systems

Aliases — catalog

  • Distributed Systems (CANONICAL)

Context tags (catalog)

CAP theorem Docker Swarm Kafka MapReduce Zookeeper consensus algorithms distributed databases eventual consistency fault tolerance gRPC load balancing message queues microservices replication sharding

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Distributed Systems
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common hiring requirement in backend/platform JDs at large tech firms; appears across AWS, Kafka, microservices, and systems roles, with strong GitHub/Stack Overflow activity and no sunset signal.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1035
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • Performance and Scalability Tuning Catalog dimension db id 11

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Performance and Scalability Tuning
performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Data Structures Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Data Structures id=1003 · data-structures

Aliases — catalog

  • Data Structures (CANONICAL)

Context tags (catalog)

Big O notation arrays binary search complexity analysis dynamic programming graphs hash tables linked lists memory management queues recursion searching algorithms sorting algorithms stacks trees

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Data Structures
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Core CS concept in nearly all software engineering JDs and interview loops; widely taught and expected across roles, with no sunset or replacement signal.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
731
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Algorithms Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Algorithms id=1004 · algorithms

Aliases — catalog

  • Algorithms (CANONICAL)

Context tags (catalog)

Big O notation backtracking binary trees breadth-first search complexity analysis data structures depth-first search divide and conquer dynamic programming graph algorithms greedy algorithms hashing recursion search algorithms sorting algorithms

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Algorithms
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Algorithms are a core hiring staple in software JDs and interview loops across FAANG and general SWE roles; they remain a standard CS curriculum topic rather than a niche tool or sunset technology.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
732
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Concurrency Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Distributed Computing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Distributed Systems id=1369 · distributed-systems

Aliases — catalog

  • Distributed Systems (CANONICAL)

Context tags (catalog)

CAP theorem Docker Swarm Kafka MapReduce Zookeeper consensus algorithms distributed databases eventual consistency fault tolerance gRPC load balancing message queues microservices replication sharding

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Distributed Systems
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common hiring requirement in backend/platform JDs at large tech firms; appears across AWS, Kafka, microservices, and systems roles, with strong GitHub/Stack Overflow activity and no sunset signal.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1035
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • Performance and Scalability Tuning Catalog dimension db id 11

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Performance and Scalability Tuning
performance-and-scalability-tuning
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
React Frontend Development
d_init_01
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Go Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Go id=3 · go

Aliases — catalog

  • Go (CANONICAL) primary
  • Go 1.0 (VERSION)
  • Go 1.1 (VERSION)
  • Go 1.10 (VERSION)
  • Go 1.11 (VERSION)
  • Go 1.12 (VERSION)
  • Go 1.13 (VERSION)
  • Go 1.14 (VERSION)
  • Go 1.15 (VERSION)
  • Go 1.16 (VERSION)
  • Go 1.17 (VERSION)
  • Go 1.18 (VERSION)
  • Go 1.19 (VERSION)
  • Go 1.2 (VERSION)
  • Go 1.20 (VERSION)
  • Go 1.21 (VERSION)
  • Go 1.22 (VERSION)
  • Go 1.3 (VERSION)
  • Go 1.4 (VERSION)
  • Go 1.5 (VERSION)
  • Go 1.6 (VERSION)
  • Go 1.7 (VERSION)
  • Go 1.8 (VERSION)
  • Go 1.9 (VERSION)
  • Go 1.x (VERSION)
  • Golang (VERSION)
  • go 1.18 (VERSION)
  • go 1.19 (VERSION)
  • go 1.20 (VERSION)
  • go 1.21 (VERSION)
  • go 1.22 (VERSION)
  • go latest (VERSION)
  • go1.18 (VERSION)
  • go1.19 (VERSION)
  • go1.20 (VERSION)
  • go1.21 (VERSION)
  • go1.22 (VERSION)
  • go1.x (VERSION)
  • golang (VERSION)

Context tags (catalog)

Beego Channel Concurrency Context Docker Echo Gin Go modules Golang Goroutine HTTP HTTP server Interface JSON JSON encoding Kubernetes Microservices REST API Struct Testing channels concurrency context package context.Context error handling gRPC goroutines interfaces microservices middleware modules net/http protobuf structs testing

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
Google
License
bsd
Year introduced
2009
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Go appears in many current job descriptions for backend, cloud, and DevOps roles, and is a standard language in Kubernetes, Docker, and cloud-native stacks; strong GitHub and ecosystem adoption signal broad market demand.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Security Scripting & DSL Languages Catalog dimension db id 248

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Go Language and Toolchain Catalog dimension db id 367

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go Language and Toolchain
go-language-and-toolchain
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Java id=1 · java

Aliases — catalog

  • Java (CANONICAL) primary
  • JDK (VERSION)
  • JDK 10 (VERSION)
  • JDK 11 (VERSION)
  • JDK 12 (VERSION)
  • JDK 13 (VERSION)
  • JDK 14 (VERSION)
  • JDK 15 (VERSION)
  • JDK 16 (VERSION)
  • JDK 17 (VERSION)
  • JDK 18 (VERSION)
  • JDK 19 (VERSION)
  • JDK 20 (VERSION)
  • JDK 21 (VERSION)
  • JDK 5 (VERSION)
  • JDK 6 (VERSION)
  • JDK 7 (VERSION)
  • JDK 8 (VERSION)
  • JDK 9 (VERSION)
  • Java 1.0 (VERSION)
  • Java 1.1 (VERSION)
  • Java 1.2 (VERSION)
  • Java 1.3 (VERSION)
  • Java 1.4 (VERSION)
  • Java 1.5 (VERSION)
  • Java 1.6 (VERSION)
  • Java 1.7 (VERSION)
  • Java 1.8 (VERSION)
  • Java 10 (VERSION)
  • Java 11 (VERSION)
  • Java 12 (VERSION)
  • Java 13 (VERSION)
  • Java 14 (VERSION)
  • Java 15 (VERSION)
  • Java 16 (VERSION)
  • Java 17 (VERSION)
  • Java 18 (VERSION)
  • Java 19 (VERSION)
  • Java 20 (VERSION)
  • Java 21 (VERSION)
  • Java 5 (VERSION)
  • Java 6 (VERSION)
  • Java 7 (VERSION)
  • Java 8 (VERSION)
  • Java 9 (VERSION)
  • Java11 (VERSION)
  • Java17 (VERSION)
  • Java21 (VERSION)
  • Java8 (VERSION)
  • OpenJDK 11 (VERSION)
  • OpenJDK 17 (VERSION)
  • OpenJDK 21 (VERSION)
  • OpenJDK 8 (VERSION)
  • java 11 (VERSION)
  • java 17 (VERSION)
  • java 21 (VERSION)
  • java 4 (VERSION)
  • java 5 (VERSION)
  • java 6 (VERSION)
  • java 7 (VERSION)
  • java 8 (VERSION)
  • java lts (VERSION)
  • java-11 (VERSION)
  • java-17 (VERSION)
  • java-21 (VERSION)
  • java-4 (VERSION)
  • java-5 (VERSION)
  • java-6 (VERSION)
  • java-7 (VERSION)
  • java-8 (VERSION)
  • java11 (VERSION)
  • java17 (VERSION)
  • java21 (VERSION)
  • java4 (VERSION)
  • java5 (VERSION)
  • java6 (VERSION)
  • java7 (VERSION)
  • java8 (VERSION)
  • jdk 11 (VERSION)
  • jdk 17 (VERSION)
  • jdk 21 (VERSION)
  • jdk 4 (VERSION)
  • jdk 5 (VERSION)
  • jdk 6 (VERSION)
  • jdk 7 (VERSION)
  • jdk 8 (VERSION)
  • jdk11 (VERSION)
  • jdk17 (VERSION)
  • jdk21 (VERSION)
  • jdk4 (VERSION)
  • jdk5 (VERSION)
  • jdk6 (VERSION)
  • jdk7 (VERSION)
  • jdk8 (VERSION)
  • jvm21 (VERSION)

Context tags (catalog)

APIs Apache Tomcat Concurrency Design patterns Garbage collection GraalVM Gradle Hibernate JDBC JDK JPA JUnit JVM Java 8 Java EE JavaFX Kafka Lambda expressions Maven Microservices Mockito Object-oriented REST RESTful SOAP Servlets Spring Spring Boot Tomcat microservices

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
Oracle
License
other_open
Year introduced
1995
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
21

Maturity reasoning: Java is a hiring-pipeline staple with very high JD volume across enterprise backend, Android, and cloud roles; it remains widely supported by major vendors and frameworks like Spring.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Java Language and JVM Catalog dimension db id 279

    Library dimension (catalog)

    Roles linked in library: Java Backend Developer, Kotlin Backend Developer, Scala Backend Developer

  • Kotlin and Java Catalog dimension db id 161

    Library dimension (catalog)

    Roles linked in library: Android Developer

  • Native Mobile Languages Catalog dimension db id 274

    Library dimension (catalog)

    Roles linked in library: Native Mobile Developer

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Java Language and JVM
java-language-and-jvm
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kotlin and Java
kotlin-and-java
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Native Mobile Languages
native-mobile-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Apache Kafka Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Apache Kafka id=145 · apache-kafka

Aliases — catalog

  • Apache Kafka (CANONICAL) primary

Context tags (catalog)

Avro Kafka Streams Schema Registry ZooKeeper brokers consumer group event streaming exactly-once semantics ksqlDB message queue offsets partitioning pub/sub replication topics

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Event Streaming Tool
Vendor
Apache Software Foundation
License
apache_2
Year introduced
2011
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Apache Kafka is broadly adopted in production and appears frequently in job descriptions for event streaming, data pipelines, and microservices; it remains a common hiring-pipeline staple across backend and platform roles.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
128
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Messaging and Event Streaming Catalog dimension db id 8

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Messaging and Event Streaming
messaging-and-event-streaming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Pub/Sub Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: pub/sub id=2443 · pub-sub

Aliases — catalog

  • pub/sub (CANONICAL) primary

Context tags (catalog)

Kafka RabbitMQ acknowledgment asynchronous de-coupling event sourcing event stream event-driven load balancing message broker message payload message queue message routing microservices producer publish publisher real-time data scalability stream processing subscribe subscriber topic

Stored enrichment (catalog DB)

Category
Architecture
Sub-category
Messaging Architecture
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Pub/sub is broadly used in cloud and event-driven systems; it appears in many JDs for Kafka, SNS/SQS, and GCP Pub/Sub, indicating a staple market skill rather than a niche pattern.

Skill profile (library / DB)

Skill nature
PATTERN
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
1
Sub-category id
3470
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Asynchronous Messaging and Event Streaming Catalog dimension db id 297

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Go Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, Scala Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Asynchronous Messaging and Event Streaming
asynchronous-messaging-and-event-streaming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Apache Beam Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Apache Beam id=124 · apache-beam

Aliases — catalog

  • Apache Beam (CANONICAL) primary

Context tags (catalog)

Dataflow DoFn ETL Flink Kafka PCollection Pub/Sub Spark batch processing pipeline orchestration runner side inputs streaming pipelines watermarks windowing

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Data Processing Framework
Vendor
Apache Software Foundation
License
apache_2
Year introduced
2016
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: Apache Beam appears in some data-engineering JDs, but far less often than Spark/Flink; its ecosystem is smaller and usage is concentrated in streaming/batch pipeline teams.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
91
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Stream Processing Systems Catalog dimension db id 25

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Stream Processing Systems
stream-processing-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Apache Flink Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Apache Flink id=120 · apache-flink

Aliases — catalog

  • Apache Flink (CANONICAL) primary
  • Apache Flink 1.20 (VERSION)
  • Apache Flink 1.x (VERSION)
  • Flink 1.20 (VERSION)
  • Flink 1.x (VERSION)

Context tags (catalog)

CEP DataStream API Flink SQL Kafka Kinesis SQL Table API checkpointing event time exactly-once state backend stateful processing stream processing watermarks windowing

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Stream Processing Framework
Vendor
Apache Software Foundation
License
apache_2
Year introduced
2014
Confidence
0.95
Version strategy
SEPARATE_ENTITY
Version tag
1.20

Maturity reasoning: Apache Flink appears in streaming/data-platform JDs, but far less often than Spark/Kafka; GitHub and job-market signals show a specialized real-time processing niche rather than broad hiring staple.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
94
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Stream Processing Systems Catalog dimension db id 25

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Stream Processing Systems
stream-processing-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google Cloud Dataflow Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Kubernetes Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Kubernetes id=726 · kubernetes

Aliases — catalog

  • Kubernetes (CANONICAL) primary
  • Kubernetes 1.0+ (VERSION)
  • Kubernetes 1.x (VERSION)
  • Kubernetes v1 (VERSION)
  • k8s (VERSION)
  • kubernetes 1.x (VERSION)
  • kubernetes latest (VERSION)

Context tags (catalog)

CI/CD Cluster Autoscaler ConfigMap DaemonSet Deployment Docker Grafana Helm Ingress Istio K8s Kubelet Namespace Pod Prometheus RBAC Secret Service StatefulSet containerization deployment etcd kubectl load balancing microservices namespace orchestration persistent storage scalability service mesh

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Container Orchestration Platform
Vendor
Cloud Native Computing Foundation
License
apache_2
Year introduced
2014
Confidence
0.90
Version strategy
SEPARATE_ENTITY
Version tag
1.30

Maturity reasoning: Broadly adopted in cloud-native stacks; Kubernetes appears in a large share of DevOps/SRE job descriptions and is the default orchestration platform across major cloud vendors.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
557
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Container Orchestration Platforms Catalog dimension db id 134

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

  • Kubernetes for ML Workloads Catalog dimension db id 47

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Container Orchestration Platforms
container-orchestration-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Lambda Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AWS Lambda id=2295 · aws-lambda

Aliases — catalog

  • AWS Lambda (CANONICAL) primary

Context tags (catalog)

API Gateway AWS CLI AWS SAM AWS SDK CloudFormation DynamoDB IAM roles Java Lambda@Edge Node.js Python S3 Step Functions X-Ray containerization deployment event-driven microservices monitoring serverless step functions trigger triggers

Stored enrichment (catalog DB)

Category
Service
Sub-category
Serverless Function Service
Vendor
Amazon Web Services
License
other_open
Year introduced
2014
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Broadly listed in cloud/backend JDs and AWS’s serverless docs/marketplace; it’s a standard hiring-pipeline skill for event-driven apps and APIs.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
1704
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • Cloud Platforms & Hosting Providers Catalog dimension db id 278

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Kotlin Backend Developer, Scala Backend Developer, Web Developer

  • Cloud Platforms & Managed Services Catalog dimension db id 221

    Library dimension (catalog)

    Roles linked in library: Fullstack Developer, Go Backend Developer, Node.js Backend Developer

  • Cloud Platforms & Services Catalog dimension db id 296

    Library dimension (catalog)

    Roles linked in library: Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms & Hosting Providers
cloud-platforms-hosting-providers
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms & Managed Services
cloud-platforms-managed-services
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms & Services
cloud-platforms-services
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP Cloud Functions Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Google Cloud Functions id=1463 · google-cloud-functions

Aliases — catalog

  • Google Cloud Functions (CANONICAL) primary

Context tags (catalog)

API Gateway Cloud Logging Cloud Monitoring Cloud Run Cloud Scheduler Cloud Storage Deployment Event-driven Firebase Function as a Service GCP Google Cloud SDK HTTP triggers IAM roles Logging Microservices Monitoring Node.js Pub/Sub Python Serverless Serverless architecture deployment event-driven logging microservices monitoring scalability serverless architecture trigger

Stored enrichment (catalog DB)

Category
Service
Sub-category
Serverless Function Service
Vendor
Google
License
apache_2
Year introduced
2017
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly listed in cloud/serverless job descriptions and Google’s managed serverless offering remains actively supported; it’s a standard alternative to AWS Lambda rather than a sunset product.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
1704
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms & Hosting Providers Catalog dimension db id 278

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Kotlin Backend Developer, Scala Backend Developer, Web Developer

  • Cloud Platforms & Managed Services Catalog dimension db id 221

    Library dimension (catalog)

    Roles linked in library: Fullstack Developer, Go Backend Developer, Node.js Backend Developer

  • Cloud Platforms & Services Catalog dimension db id 296

    Library dimension (catalog)

    Roles linked in library: Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms & Hosting Providers
cloud-platforms-hosting-providers
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Cloud Platforms & Managed Services
cloud-platforms-managed-services
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Cloud Platforms & Services
cloud-platforms-services
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
CI/CD Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CI/CD id=1190 · ci-cd

Aliases — catalog

  • CI/CD (CANONICAL)

Context tags (catalog)

Ansible CircleCI Docker GitLab CI Jenkins Kubernetes Terraform Travis CI automated testing build automation continuous deployment continuous integration deployment pipelines monitoring version control

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Ci Cd Process
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: CI/CD appears in a large share of software engineering JDs and is a standard requirement across DevOps, platform, and backend roles; major vendors like GitHub, GitLab, and AWS all center product roadmaps on CI/CD pipelines.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
900
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google Cloud Platform Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Google Cloud Platform id=425 · google-cloud-platform

Aliases — catalog

  • Google Cloud Platform (CANONICAL) primary

Context tags (catalog)

Anthos App Engine Artifact Registry BigQuery Cloud Build Cloud Functions Cloud Monitoring Cloud Pub/Sub Cloud Run Cloud SQL Cloud Spanner Cloud Storage Compute Engine Dataflow Dataproc GCP GKE IAM Kubernetes Kubernetes Engine Pub/Sub Serverless Stackdriver Terraform VPC

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Google
License
other_open
Year introduced
2008
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: GCP appears in many cloud-engineering job descriptions alongside AWS/Azure, and Google continues expanding managed services and certifications, indicating broad hiring demand rather than niche use.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
46
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud & Hosting Providers Catalog dimension db id 414

    Library dimension (catalog)

    Roles linked in library: PHP Backend Developer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer, Cyber Security Engineer

  • Vendor Product Families Catalog dimension db id 477

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud & Hosting Providers
cloud-hosting-providers
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AWS id=187 · aws

Aliases — catalog

  • AWS (CANONICAL) primary

Context tags (catalog)

API Gateway AWS CLI Auto Scaling CloudFormation CloudFront CloudTrail CloudWatch Cognito DynamoDB EC2 ECS EKS Elastic Beanstalk Elastic Load Balancing IAM KMS Lambda RDS Route 53 S3 SNS SQS Serverless VPC

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Amazon
License
other_open
Year introduced
2006
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS is a hiring-pipeline staple: it appears in a large share of cloud/DevOps job descriptions and dominates public cloud market share, with broad certification and vendor ecosystem support.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
46
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • Cloud Platforms for AI Deployment Catalog dimension db id 211

    Library dimension (catalog)

    Roles linked in library: AI Engineer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer, Cyber Security Engineer

  • Vendor Product Families Catalog dimension db id 477

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
BigQuery Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: BigQuery id=106 · bigquery

Aliases — catalog

  • BigQuery (CANONICAL) primary

Context tags (catalog)

Cloud Storage Dataflow ELT ETL GCP Google Cloud Platform Looker Pub/Sub SQL Standard SQL clustered tables data warehouse dbt partitioned tables service account

Stored enrichment (catalog DB)

Category
Service
Sub-category
Data Warehouse Service
Vendor
Google
License
proprietary
Year introduced
2011
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: BigQuery appears frequently in data/analytics job descriptions and is a core Google Cloud warehouse offering, with broad enterprise adoption and strong ecosystem support.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
118
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Data Warehouses Catalog dimension db id 22

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Data Warehouses
cloud-data-warehouses
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
S3 Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: S3 id=1212 · s3

Aliases — catalog

  • S3 (CANONICAL)

Context tags (catalog)

AWS AWS CLI CORS CloudFormation IAM policies S3 Select bucket data lifecycle encryption event notifications multipart upload object storage static website hosting transfer acceleration versioning

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Storage Platform
Vendor
Amazon
License
proprietary
Year introduced
2006
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Amazon S3 is a default cloud storage service in AWS job descriptions and architecture docs; it remains broadly adopted with no vendor sunset, and is commonly paired with S3-compatible storage rather than replaced.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
919
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Systems Programming Catalog dimension db id 166

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Systems Programming
d_init_02
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCS Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
IAM Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: IAM id=1217 · iam

Aliases — catalog

  • IAM (CANONICAL)

Context tags (catalog)

ABAC IAM governance MFA OAuth OpenID Connect RBAC SAML SSO access control audit logs directory services identity federation policy management security tokens user provisioning

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Identity And Access Management Platform
Vendor
Amazon Web Services
License
proprietary
Year introduced
2011
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: IAM is a standard cloud/security platform skill; it appears routinely in AWS/Azure/GCP job descriptions and is a core control in vendor docs and compliance frameworks, indicating broad hiring demand.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
923
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GKE Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
EKS Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: EKS id=1622 · eks

Aliases — catalog

  • EKS (CANONICAL)

Context tags (catalog)

AWS CI/CD CloudFormation ECR Fargate Helm Kubernetes container orchestration kubectl load balancing microservices monitoring network policies scalability service mesh

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Kubernetes Platform
Vendor
Amazon
License
unknown
Year introduced
2018
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Amazon EKS appears in many cloud/Kubernetes job postings and is a standard managed Kubernetes option on AWS, with strong vendor docs and ecosystem adoption.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
927
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Kubernetes for ML Workloads Catalog dimension db id 47

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Prometheus Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Prometheus id=46 · prometheus

Aliases — catalog

  • Prometheus (CANONICAL) primary

Context tags (catalog)

Alertmanager Grafana Kubernetes OpenMetrics PromQL Pushgateway TSDB Thanos alert rules alerts cAdvisor cloud-native container orchestration dashboards exporter kube-state-metrics labels metrics metrics endpoint metrics scraping monitoring node_exporter observability open-source pushgateway recording rules remote write scrape interval scraping service discovery time series visualization

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Monitoring Platform
Vendor
Cloud Native Computing Foundation
License
apache_2
Year introduced
2012
Confidence
0.62
Version strategy
NOT_APPLICABLE

Maturity reasoning: Prometheus is widely listed in DevOps/SRE job descriptions and is a standard CNCF monitoring stack component, often paired with Grafana for production observability.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
2837
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Backend Observability, Logging, and Diagnostics Catalog dimension db id 388

    Library dimension (catalog)

    Roles linked in library: Kotlin Backend Developer, Scala Backend Developer

  • Observability and Incident Response Catalog dimension db id 10

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Node.js Backend Developer, PHP Backend Developer

  • Observability and Incident Triage Catalog dimension db id 155

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Observability and Operations Catalog dimension db id 143

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Backend Observability, Logging, and Diagnostics
backend-observability-logging-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Incident Response
observability-and-incident-response
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Incident Triage
observability-and-incident-triage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Grafana Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Grafana id=47 · grafana

Aliases — catalog

  • Grafana (CANONICAL) primary

Context tags (catalog)

Alertmanager Grafana API Grafana Cloud Grafana Enterprise Grafana Loki Grafana Tempo Grafana plugins InfluxDB Kubernetes Loki Prometheus SLA SLO SRE Tempo alerting alerts annotations dashboard dashboarding dashboards data source data sources data visualization influxDB metrics monitoring observability plugins query editor templating time series time-series visualization

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Observability Platform
Vendor
Grafana Labs
License
apache_2
Year introduced
2014
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Grafana appears in many DevOps/SRE job descriptions and is a standard observability dashboarding tool alongside Prometheus and Loki; strong GitHub/community adoption and broad vendor integrations signal mainstream use.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
176
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Backend Observability, Logging, and Diagnostics Catalog dimension db id 388

    Library dimension (catalog)

    Roles linked in library: Kotlin Backend Developer, Scala Backend Developer

  • Observability and Incident Response Catalog dimension db id 10

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Node.js Backend Developer, PHP Backend Developer

  • Observability and Incident Triage Catalog dimension db id 155

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Observability and Operations Catalog dimension db id 143

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Backend Observability, Logging, and Diagnostics
backend-observability-logging-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Incident Response
observability-and-incident-response
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Incident Triage
observability-and-incident-triage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
OpenTelemetry Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: OpenTelemetry id=48 · opentelemetry

Aliases — catalog

  • OpenTelemetry (CANONICAL) primary

Context tags (catalog)

API Baggage Grafana Jaeger OTLP OpenCensus OpenTelemetry Collector OpenTracing Prometheus SDK Zipkin backend integration cloud-native collector context propagation distributed systems distributed tracing exporter exporters gRPC instrumentation logging logs metrics observability prometheus propagation sampling span trace context traces tracing

Stored enrichment (catalog DB)

Category
Library
Sub-category
Observability Library
Vendor
CNCF
License
apache_2
Year introduced
2019
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: OpenTelemetry appears in many recent SRE/observability JDs and is backed by CNCF, but it’s still less universal than Prometheus/Datadog in hiring pipelines.

Skill profile (library / DB)

Skill nature
LIBRARY
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
7
Sub-category id
1687
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Backend Observability, Logging, and Diagnostics Catalog dimension db id 388

    Library dimension (catalog)

    Roles linked in library: Kotlin Backend Developer, Scala Backend Developer

  • Observability and Diagnostics Catalog dimension db id 287

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer, Java Backend Developer, Python Backend Developer

  • Observability and Incident Response Catalog dimension db id 10

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Node.js Backend Developer, PHP Backend Developer

  • Observability and Incident Triage Catalog dimension db id 155

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Observability and Operations Catalog dimension db id 143

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Backend Observability, Logging, and Diagnostics
backend-observability-logging-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Diagnostics
observability-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Incident Response
observability-and-incident-response
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Incident Triage
observability-and-incident-triage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
IoT Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Telemetry Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Time-Series Databases Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Databases
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
ClickHouse Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Databases
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Apache Druid Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Databases
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
InfluxDB Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Databases
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Schema Evolution Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Schema evolution id=129 · schema-evolution

Aliases — catalog

  • Schema evolution (CANONICAL) primary

Context tags (catalog)

Avro Protobuf Thrift backward compatibility breaking changes compatibility checks data contracts default values deprecation field addition field removal forward compatibility migration scripts schema registry versioning

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Data Schema Concept
Confidence
0.94
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common in data/platform JDs for backward-compatible DB/API changes; supported by tools like Avro/Protobuf and cloud warehouses, with broad hiring demand across analytics and backend roles.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
79
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Data Modeling and Schema Design Catalog dimension db id 26

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Data Modeling and Schema Design
data-modeling-and-schema-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Data Contracts Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Data contracts id=175 · data-contracts

Aliases — catalog

  • Data contracts (CANONICAL) primary

Context tags (catalog)

Avro JSON Schema Protobuf backward compatibility breaking changes contract testing data lineage data quality event-driven architecture forward compatibility metadata management producer-consumer schema evolution schema registry validation rules

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Data Governance Concept
Confidence
0.83
Version strategy
NOT_APPLICABLE

Maturity reasoning: Data contracts are increasingly mentioned in data engineering JDs and vendor docs, but they’re not yet a universal hiring staple like SQL or dbt; market signal shows growing adoption around schema governance and breaking-change prevention.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
73
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Data Contracts and Delivery SLAs Catalog dimension db id 36

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Data Contracts and Delivery SLAs
data-contracts-and-delivery-slas
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Change Data Capture Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Change data capture id=140 · change-data-capture

Aliases — catalog

  • Change data capture (CANONICAL) primary

Context tags (catalog)

Debezium ELT ETL Kafka Connect WAL binlog data pipeline event sourcing incremental load logical replication replication slot snapshotting streaming ingestion transaction log upsert

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Data Capture Methodology
Confidence
0.95
Version strategy
NOT_APPLICABLE

Maturity reasoning: CDC is broadly adopted in data engineering; it appears in many JDs for Kafka/Debezium/ETL roles and is a standard pattern for near-real-time replication and sync.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
102
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Batch Ingestion and Replication Catalog dimension db id 29

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Batch Ingestion and Replication
batch-ingestion-and-replication
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Event Sourcing Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Geospatial Data Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Real-Time Analytics Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Streaming Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Batch Processing Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Event-Driven Architecture Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Event-Driven Architecture id=1360 · event-driven-architecture

Aliases — catalog

  • Event-Driven Architecture (CANONICAL)

Context tags (catalog)

CQRS Kafka RabbitMQ asynchronous messaging data pipeline event bus event schema event sourcing event-driven programming message broker microservices publish-subscribe real-time data serverless stream processing

Stored enrichment (catalog DB)

Category
Architecture
Sub-category
Event Driven Architecture
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common in cloud-native JDs and vendor docs; AWS, Azure, and Confluent all market event-driven patterns with Kafka/PubSub, showing broad hiring demand.

Skill profile (library / DB)

Skill nature
PATTERN
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
1
Sub-category id
1027
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Backpressure Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: backpressure id=2481 · backpressure

Aliases — catalog

  • backpressure (CANONICAL) primary

Context tags (catalog)

asynchronous processing buffering concurrency data flow event-driven flow control latency load shedding message queues producer-consumer reactive streams resource management system stability throttling throughput

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Flow Control Concept
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Backpressure is a standard flow-control concept in JDs for streaming, messaging, and reactive systems (e.g., Kafka, Reactive Streams, gRPC), and is widely documented in vendor docs and platform guides.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1826
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Performance and Scalability Tuning Catalog dimension db id 11

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Performance and Scalability Tuning
performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Checkpointing Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Windowing Semantics Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
SLOs Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: SLOs id=780 · slos

Aliases — catalog

  • SLOs (CANONICAL) primary

Context tags (catalog)

SLA SLI alerting availability burn rate capacity planning dashboard error budget incident response latency metrics monitoring observability performance reliability service level objectives service reliability thresholds uptime

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Service Level Objectives
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: SLOs are a standard SRE/DevOps concept and appear in many job descriptions for reliability, observability, and platform roles; vendors like Google Cloud and Datadog also market SLO tooling broadly.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1841
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Observability and Incident Response Catalog dimension db id 10

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Node.js Backend Developer, PHP Backend Developer

  • Observability and Operations Catalog dimension db id 143

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Observability and Incident Response
observability-and-incident-response
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SLAs Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
Distributed Systems in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Distributed Systems in_db
Performance and Scalability Tuning
performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Distributed Systems in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Data Structures in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Algorithms in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Distributed Computing new
Cloud Platforms
cloud-platforms
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Distributed Computing new
Performance and Scalability Tuning
performance-and-scalability-tuning
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Distributed Computing new
React Frontend Development
d_init_01
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Go in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go in_db
Go Language and Toolchain
go-language-and-toolchain
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Java Language and JVM
java-language-and-jvm
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Kotlin and Java
kotlin-and-java
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Native Mobile Languages
native-mobile-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Apache Kafka in_db
Messaging and Event Streaming
messaging-and-event-streaming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Pub/Sub in_db
Asynchronous Messaging and Event Streaming
asynchronous-messaging-and-event-streaming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Apache Beam in_db
Stream Processing Systems
stream-processing-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Apache Flink in_db
Stream Processing Systems
stream-processing-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kubernetes in_db
Container Orchestration Platforms
container-orchestration-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kubernetes in_db
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Lambda in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Lambda in_db
Cloud Platforms & Hosting Providers
cloud-platforms-hosting-providers
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Lambda in_db
Cloud Platforms & Managed Services
cloud-platforms-managed-services
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Lambda in_db
Cloud Platforms & Services
cloud-platforms-services
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP Cloud Functions new
Cloud Platforms & Hosting Providers
cloud-platforms-hosting-providers
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
GCP Cloud Functions new
Cloud Platforms & Managed Services
cloud-platforms-managed-services
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
GCP Cloud Functions new
Cloud Platforms & Services
cloud-platforms-services
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
CI/CD in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google Cloud Platform in_db
Cloud & Hosting Providers
cloud-hosting-providers
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Google Cloud Platform in_db
Cloud Provider Platforms
cloud-provider-platforms
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Google Cloud Platform in_db
Cloud Security Posture Tools
cloud-security-posture-tools
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Google Cloud Platform in_db
Vendor Product Families
vendor-product-families
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AWS in_db
Cloud Platforms
cloud-platforms
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AWS in_db
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
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AWS in_db
Cloud Provider Platforms
cloud-provider-platforms
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AWS in_db
Cloud Security Posture Tools
cloud-security-posture-tools
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AWS in_db
Vendor Product Families
vendor-product-families
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BigQuery in_db
Cloud Data Warehouses
cloud-data-warehouses
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S3 in_db
Cloud Platforms
cloud-platforms
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S3 in_db
React Frontend Development
d_init_01
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S3 in_db
Systems Programming
d_init_02
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IAM in_db
React Frontend Development
d_init_01
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EKS in_db
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
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Prometheus in_db
Backend Observability, Logging, and Diagnostics
backend-observability-logging-and-diagnostics
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Prometheus in_db
Observability and Incident Response
observability-and-incident-response
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Prometheus in_db
Observability and Incident Triage
observability-and-incident-triage
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Prometheus in_db
Observability and Operations
observability-and-operations
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Grafana in_db
Backend Observability, Logging, and Diagnostics
backend-observability-logging-and-diagnostics
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Grafana in_db
Observability and Incident Response
observability-and-incident-response
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Grafana in_db
Observability and Incident Triage
observability-and-incident-triage
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Grafana in_db
Observability and Operations
observability-and-operations
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OpenTelemetry in_db
Backend Observability, Logging, and Diagnostics
backend-observability-logging-and-diagnostics
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OpenTelemetry in_db
Observability and Diagnostics
observability-and-diagnostics
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OpenTelemetry in_db
Observability and Incident Response
observability-and-incident-response
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OpenTelemetry in_db
Observability and Incident Triage
observability-and-incident-triage
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OpenTelemetry in_db
Observability and Operations
observability-and-operations
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Schema Evolution in_db
Data Modeling and Schema Design
data-modeling-and-schema-design
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Data Contracts in_db
Data Contracts and Delivery SLAs
data-contracts-and-delivery-slas
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Change Data Capture in_db
Batch Ingestion and Replication
batch-ingestion-and-replication
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Event-Driven Architecture in_db
React Frontend Development
d_init_01
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Backpressure in_db
Performance and Scalability Tuning
performance-and-scalability-tuning
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SLOs in_db
Observability and Incident Response
observability-and-incident-response
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SLOs in_db
Observability and Operations
observability-and-operations
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Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Concurrency | type=Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Google Cloud Dataflow | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed GCS | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed GKE | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed IoT | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Telemetry | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Time-Series Databases | type=Databases subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed ClickHouse | type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Apache Druid | type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed InfluxDB | type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Event Sourcing | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Geospatial Data | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Real-Time Analytics | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Streaming | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Batch Processing | type=Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Checkpointing | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Windowing Semantics | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed SLAs | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
dimension_skill_link_proposed Distributed Computing ↔ Cloud Platforms
dimension_skill_link_proposed Distributed Computing ↔ Performance and Scalability Tuning
dimension_skill_link_proposed Distributed Computing ↔ React Frontend Development
dimension_skill_link_proposed GCP Cloud Functions ↔ Cloud Platforms & Hosting Providers
dimension_skill_link_proposed GCP Cloud Functions ↔ Cloud Platforms & Managed Services
dimension_skill_link_proposed GCP Cloud Functions ↔ Cloud Platforms & Services
nano JD Parser — gpt-4.1-nano click to toggle
RoleStaff Software Engineer
CompanySibros Technologies
Experience9 - 12 years
DomainAutomotive & Mobility
JD type pass
Show raw JSON
{
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      "last_5_words": "and data monetization, and beyond."
    },
    "text": "Sibros is accelerating the future of SDV excellence with its Deep Connected Platform\u2122 that orchestrates full vehicle software update management, vehicle analytics, and remote commands in one integrated system. Adaptable to any vehicle architecture, Sibros\u2019 platform meets stringent safety, security, and compliance standards, propelling OEMs to innovate new connected vehicle use cases across fleet management, predictive maintenance, data monetization, and beyond.",
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      "word_count": 218
    }
  ],
  "urls": [
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    },
    {
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    },
    {
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    },
    {
      "type": "instagram",
      "url": "https://www.instagram.com/sibros"
    }
  ]
}
API 1 — extract-from-jd click to toggle
{
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        "first_5_words": "Sibros is accelerating the future",
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      "text": "Sibros is accelerating the future of SDV excellence with its Deep Connected Platform\u2122 that orchestrates full vehicle software update management, vehicle analytics, and remote commands in one integrated system. Adaptable to any vehicle architecture, Sibros\u2019 platform meets stringent safety, security, and compliance standards, propelling OEMs to innovate new connected vehicle use cases across fleet management, predictive maintenance, data monetization, and beyond.",
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      {
        "display_name": "Cloud Architect",
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          {
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            "similarity": 0.6033
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      {
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          },
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            "kra_text": "collaborate with design, product, and backend teams",
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        ],
        "matched_count": null,
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        "display_name": "DevOps Engineer",
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          {
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          },
          {
            "kra_text": "Monitors CI/CD pipeline reliability, identifies bottlenecks in delivery workflows, and improves deployment frequency, lead time, and failure recovery rate.",
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            "similarity": 0.5541
          },
          {
            "kra_text": "Monitors CI/CD pipeline reliability, identifies bottlenecks in delivery workflows, and improves deployment frequency, lead time, and failure recovery rate.",
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        ],
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      },
      {
        "display_name": "Backend Developer",
        "kra_matches": [
          {
            "kra_text": "Investigates and resolves production incidents, API bugs, and service degradation through root cause analysis, hotfixes, and post-mortems.",
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            "similarity": 0.5815
          },
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            "kra_text": "Identifies and resolves backend performance bottlenecks through query optimization, indexing strategies, connection pooling, and distributed caching with Redis.",
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            "kra_text": "Adds structured logging, metrics, distributed tracing, and alerting to improve system observability and support production debugging.",
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        ],
        "matched_count": null,
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    ],
    "skill_match_roles": [
      {
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        "matched_skills": [
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          "Distributed Systems",
          "Flink",
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          "S3",
          "Schema evolution"
        ],
        "role_id": 2,
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      {
        "display_name": "Backend Developer",
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        "role_id": 1,
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      },
      {
        "display_name": ".NET Backend Developer",
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        "matched_count": 10,
        "matched_skills": [
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      {
        "display_name": "Node.js Backend Developer",
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        "matched_count": 10,
        "matched_skills": [
          "AWS",
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          "Distributed Systems",
          "Grafana",
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      {
        "display_name": "DevOps Engineer",
        "kra_matches": null,
        "matched_count": 9,
        "matched_skills": [
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          "CI/CD",
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          "Grafana",
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          "Prometheus",
          "S3"
        ],
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    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "Streaming / Real-Time Data Engineer",
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      "matched_count": null,
      "matched_skills": null,
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    },
    "confidence": 0.97,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Real-time and batch data pipeline architecture",
      "Distributed systems scalability",
      "Streaming data processing",
      "System reliability and observability",
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    "matched_kras": [
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    "matched_skills": [
      "Apache Kafka",
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      "checkpointing",
      "SLAs/SLOs"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Data Engineering \u0026 Analytics; The JD centers on architecting and operating real-time and batch data pipelines with Kafka, stream processing, low-latency systems, and reliability at scale, which best matches a Streaming / Real-Time Data Engineer.",
    "sub_role": null
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  "stage5_updates": {
    "centroid_n_after": 4,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 903,
      "r_and_r_preview": "\u2022 Lead the Design and Evolution of Scalable Data Systems: Architect end-to-end real-time and batch data processing pipelines that power mission-critical applications such as trip intelligence, predict",
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    "new_skills_attached": [
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        "role_display_name": "Streaming / Real-Time Data Engineer",
        "role_slug": "streaming-real-time-data-engineer",
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        "role_display_name": "Streaming / Real-Time Data Engineer",
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        "role_display_name": "Streaming / Real-Time Data Engineer",
        "role_slug": "streaming-real-time-data-engineer",
        "skill_name": "Apache Druid",
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        "is_primary": true,
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        "role_display_name": "Streaming / Real-Time Data Engineer",
        "role_slug": "streaming-real-time-data-engineer",
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        "is_primary": true,
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        "role_display_name": "Streaming / Real-Time Data Engineer",
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        "is_primary": true,
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        "role_display_name": "Streaming / Real-Time Data Engineer",
        "role_slug": "streaming-real-time-data-engineer",
        "skill_name": "Windowing Semantics",
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        "is_primary": true,
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        "skill_name": "SLAs",
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    "v3_pipeline_triggered": false,
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    "v3_run_id": null
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}
API 2 — extract-details
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      "alias_persisted": false,
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
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      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
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        "is_also_category": false,
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      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
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      "existing_alias_text": "Algorithms",
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      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
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      "matched_via": "embedding_alias"
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      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
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      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
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      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
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      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
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      "existing_alias_text": "Apache Flink",
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      "matched_via": "alias"
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      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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        "is_also_category": false,
        "is_extractable": true,
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      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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    },
    {
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        "display_name": "Cloud Platforms \u0026 Hosting Providers",
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        "display_name": "Cloud Platforms \u0026 Services",
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        "display_name": "Cloud Platforms \u0026 Hosting Providers",
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          "display_name": ".NET Backend Developer",
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        {
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    },
    {
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        "display_name": "Cloud Platforms \u0026 Services",
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          "display_name": "Python Backend Developer",
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    {
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        "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
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      },
      "input_skill": "CI/CD",
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      "roles_from_db": [
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          "display_name": "DevOps Engineer",
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          "role_archetype": null,
          "slug": "devops-engineer",
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    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "CI/CD for Machine Learning",
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        "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
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    },
    {
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        "difficulty_hint": "well_known",
        "display_name": "Cloud \u0026 Hosting Providers",
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        "source": "db"
      },
      "input_skill": "Google Cloud Platform",
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    },
    {
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        "display_name": "Cloud Provider Platforms",
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        "rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
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        "display_name": "Vendor Product Families",
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        "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
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        "source": "db"
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      "input_skill": "Google Cloud Platform",
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    {
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          "role_archetype": null,
          "slug": "devops-engineer",
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          "slug": "ml-ops-engineer",
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        {
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "node-backend-developer",
          "source": "db"
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        {
          "display_name": "Python Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "python-backend-developer",
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          "display_name": "Scala Backend Developer",
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          "role_archetype": "Engineering",
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    },
    {
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        "difficulty_hint": "well_known",
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        "rationale": "Major cloud services that provide infrastructure and managed services for AI workloads.",
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        "source": "db"
      },
      "input_skill": "AWS",
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      "roles_from_db": [
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          "display_name": "AI Engineer",
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    {
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        "difficulty_hint": "well_known",
        "display_name": "Cloud Provider Platforms",
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        "rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
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        "source": "db"
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      "input_skill": "AWS",
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          "slug": "cloud-security-engineer",
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          "slug": "cybersecurity-engineer",
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      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Vendor Product Families",
        "id": 477,
        "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
        "slug": "vendor-product-families",
        "source": "db"
      },
      "input_skill": "AWS",
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      "roles_from_db": [
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          "display_name": "Engineering Manager",
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          "slug": "engineering-manager",
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    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Data Warehouses",
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        "rationale": "Managed analytical storage and compute platforms used for curated datasets, reporting, and downstream analytics. These systems are central to data modeling, performance tuning, and cost-aware query design.",
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        "source": "db"
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      "input_skill": "BigQuery",
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      "roles_from_db": [
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          "display_name": "Data Engineer",
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          "slug": "data-engineer",
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    {
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        "display_name": "Cloud Platforms",
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        "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
        "slug": "cloud-platforms",
        "source": "db"
      },
      "input_skill": "S3",
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      "roles_from_db": [
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          "display_name": ".NET Backend Developer",
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          "role_archetype": "Engineering",
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        {
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          "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
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        {
          "display_name": "Fullstack Developer",
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          "rationale": null,
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          "slug": "full-stack-engineer",
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        },
        {
          "display_name": "Go Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "go-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Java Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "java-backend-developer",
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        {
          "display_name": "Kotlin Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "kotlin-server-backend-developer",
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        {
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          "role_archetype": null,
          "slug": "ml-engineer",
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        {
          "display_name": "MLOps Engineer",
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          "rationale": null,
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          "slug": "ml-ops-engineer",
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        {
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              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "PHP Backend Developer",
              "id": 86,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "php-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Backpressure",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Checkpointing",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "checkpointing",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Windowing Semantics",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "windowing-semantics",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "SLOs",
          "alias_type": "CANONICAL",
          "id": 1325,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "SLOs",
        "id": 780,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "slos",
        "sub_category_id": 1841,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Observability and Incident Response",
            "id": 10,
            "rationale": "Instrumentation and production troubleshooting practices used to keep backend services reliable. Includes logs, metrics, traces, alerting, dashboards, and incident diagnosis.",
            "slug": "observability-and-incident-response",
            "source": "db"
          },
          "input_skill": "SLOs",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "PHP Backend Developer",
              "id": 86,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "php-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Observability and Operations",
            "id": 143,
            "rationale": "Monitoring, logging, tracing, and operational readiness patterns used to keep cloud platforms supportable. Cloud Architects use this to define what telemetry and operational controls workloads must expose.",
            "slug": "observability-and-operations",
            "source": "db"
          },
          "input_skill": "SLOs",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "SLOs",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "SLAs",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "slas",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Concurrency",
    "Google Cloud Dataflow",
    "GCS",
    "GKE",
    "IoT",
    "Telemetry",
    "Time-Series Databases",
    "ClickHouse",
    "Apache Druid",
    "InfluxDB",
    "Event Sourcing",
    "Geospatial Data",
    "Real-Time Analytics",
    "Streaming",
    "Batch Processing",
    "Checkpointing",
    "Windowing Semantics",
    "SLAs"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Streaming / Real-Time Data Engineer",
    "id": 149,
    "rationale": "Domain=Data Engineering \u0026 Analytics; The JD centers on architecting and operating real-time and batch data pipelines with Kafka, stream processing, low-latency systems, and reliability at scale, which best matches a Streaming / Real-Time Data Engineer.",
    "role_archetype": null,
    "slug": "streaming-real-time-data-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Distributed Systems",
      "tag": "in_db"
    },
    {
      "skill": "Data Structures",
      "tag": "in_db"
    },
    {
      "skill": "Algorithms",
      "tag": "in_db"
    },
    {
      "skill": "Concurrency",
      "tag": "new"
    },
    {
      "skill": "Distributed Computing",
      "tag": "in_db"
    },
    {
      "skill": "Go",
      "tag": "in_db"
    },
    {
      "skill": "Java",
      "tag": "in_db"
    },
    {
      "skill": "Apache Kafka",
      "tag": "in_db"
    },
    {
      "skill": "Pub/Sub",
      "tag": "in_db"
    },
    {
      "skill": "Apache Beam",
      "tag": "in_db"
    },
    {
      "skill": "Apache Flink",
      "tag": "in_db"
    },
    {
      "skill": "Google Cloud Dataflow",
      "tag": "new"
    },
    {
      "skill": "Kubernetes",
      "tag": "in_db"
    },
    {
      "skill": "AWS Lambda",
      "tag": "in_db"
    },
    {
      "skill": "GCP Cloud Functions",
      "tag": "in_db"
    },
    {
      "skill": "CI/CD",
      "tag": "in_db"
    },
    {
      "skill": "Google Cloud Platform",
      "tag": "in_db"
    },
    {
      "skill": "AWS",
      "tag": "in_db"
    },
    {
      "skill": "BigQuery",
      "tag": "in_db"
    },
    {
      "skill": "S3",
      "tag": "in_db"
    },
    {
      "skill": "GCS",
      "tag": "new"
    },
    {
      "skill": "IAM",
      "tag": "in_db"
    },
    {
      "skill": "GKE",
      "tag": "new"
    },
    {
      "skill": "EKS",
      "tag": "in_db"
    },
    {
      "skill": "Prometheus",
      "tag": "in_db"
    },
    {
      "skill": "Grafana",
      "tag": "in_db"
    },
    {
      "skill": "OpenTelemetry",
      "tag": "in_db"
    },
    {
      "skill": "IoT",
      "tag": "new"
    },
    {
      "skill": "Telemetry",
      "tag": "new"
    },
    {
      "skill": "Time-Series Databases",
      "tag": "new"
    },
    {
      "skill": "ClickHouse",
      "tag": "new"
    },
    {
      "skill": "Apache Druid",
      "tag": "new"
    },
    {
      "skill": "InfluxDB",
      "tag": "new"
    },
    {
      "skill": "Schema Evolution",
      "tag": "in_db"
    },
    {
      "skill": "Data Contracts",
      "tag": "in_db"
    },
    {
      "skill": "Change Data Capture",
      "tag": "in_db"
    },
    {
      "skill": "Event Sourcing",
      "tag": "new"
    },
    {
      "skill": "Geospatial Data",
      "tag": "new"
    },
    {
      "skill": "Real-Time Analytics",
      "tag": "new"
    },
    {
      "skill": "Streaming",
      "tag": "new"
    },
    {
      "skill": "Batch Processing",
      "tag": "new"
    },
    {
      "skill": "Event-Driven Architecture",
      "tag": "in_db"
    },
    {
      "skill": "Backpressure",
      "tag": "in_db"
    },
    {
      "skill": "Checkpointing",
      "tag": "new"
    },
    {
      "skill": "Windowing Semantics",
      "tag": "new"
    },
    {
      "skill": "SLOs",
      "tag": "in_db"
    },
    {
      "skill": "SLAs",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Platforms",
          "id": 20,
          "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
          "slug": "cloud-platforms",
          "source": "db"
        },
        "dimension_id": 20,
        "input_skill": "Distributed Systems",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Backend Developer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          },
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          },
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          },
          {
            "display_name": "Go Backend Developer",
            "id": 81,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "go-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Java Backend Developer",
            "id": 79,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "java-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Kotlin Backend Developer",
            "id": 84,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "kotlin-server-backend-developer",
            "source": "db"
          },
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          },
          {
            "display_name": "MLOps Engineer",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
            "id": 82,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "node-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1369,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Performance and Scalability Tuning",
          "id": 11,
          "rationale": "Techniques for improving throughput, latency, and resource efficiency in PHP backend services. This includes profiling, query optimization, concurrency limits, memory use, and bottleneck analysis.",
          "slug": "performance-and-scalability-tuning",
          "source": "db"
        },
        "dimension_id": 11,
        "input_skill": "Distributed Systems",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Backend Developer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
            "id": 82,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "node-backend-developer",
            "source": "db"
          },
          {
            "display_name": "PHP Backend Developer",
            "id": 86,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "php-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1369,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Distributed Systems",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1369,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Data Structures",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1003,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Algorithms",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1004,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Platforms",
          "id": 20,
          "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
          "slug": "cloud-platforms",
          "source": "db"
        },
        "dimension_id": 20,
        "input_skill": "Distributed Computing",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Backend Developer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          },
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          },
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          },
          {
            "display_name": "Go Backend Developer",
            "id": 81,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "go-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Java Backend Developer",
            "id": 79,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "java-backend-developer",
            "source": "db"
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        "roles_from_db": [
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          "slug": "stream-processing-systems",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Data Engineer",
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            "slug": "data-engineer",
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        "roles_from_db": [
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          {
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          },
          {
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      {
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        "roles_from_db": [
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            "display_name": ".NET Backend Developer",
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          {
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            "slug": "web-developer",
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        ],
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        "roles_from_db": [
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          {
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            "role_archetype": "Engineering",
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        ],
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Python Backend Developer",
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            "rationale": null,
            "role_archetype": "Engineering",
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        ],
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        "roles_from_db": [
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            "display_name": "Fullstack Developer",
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          {
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          {
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            "display_name": "Python Backend Developer",
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          "difficulty_hint": "well_known",
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          "source": "db"
        },
        "dimension_id": 414,
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
          {
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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          "difficulty_hint": "well_known",
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          "slug": "cloud-security-posture-tools",
          "source": "db"
        },
        "dimension_id": 64,
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
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          "difficulty_hint": "well_known",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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          {
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      {
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        "role_dimension_saved": false,
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            "display_name": ".NET Backend Developer",
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            "display_name": "Cloud Architect",
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}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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