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Pipeline run

a7e83657-ebf6-4092-9f4b-6a5767092a6d

Pipeline LLM cost (USD)
API 1: $0.0093 API 2: $0.0003 API 3: $0.0000 Total: $0.0096

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Data Engineering / Stream Processing
Build and scale Rust stream-processing pipelines for multi-terabyte datasets, instrumenting jobs with logs/metrics/dashboards, tuning reliability and cost, and automating reconciliation, replay, and deployments with DevOps on AWS/GCP.
""Design, build, and scale streaming workflows that move and process multi-terabyte""
Tech stack maturity
Modern Cloud Native
The stack centers on cloud platforms, autoscaling, CI/CD, observability, and distributed streaming systems like Kafka and NATS, which are characteristic of modern cloud-native engineering.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.20 / 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): AI
Evidence — skills matched in JD (20)
Rust AWS GCP Kafka NATS Grafana Prometheus async/await Cargo Tracing Structured Logging Containerization CI/CD ClickHouse MergeTree OLAP Concurrency Back-pressure Autoscaling Blockchain
Skill cluster (7 dimension groups, role-scoped)
Cloud Provider Platforms
AWS GCP
Observability and Operations
Grafana Prometheus
Asynchronous Messaging and Event Streaming
Kafka
Backend Observability, Logging, and Diagnostics
Structured Logging
Concurrency and Async Workflows
async/await
Observability and Diagnostics
Tracing
Cross-cutting / unaligned
Rust NATS Cargo Containerization CI/CD ClickHouse MergeTree OLAP Concurrency Back-pressure Autoscaling Blockchain
Show KRA description ↓
• Design, build, and scale streaming workflows that move and process multi-terabyte (and rapidly growing) datasets. • Guarantee end-to-end reliability by owning performance, fault-tolerance, and cost efficiency from source to sink. • Instrument every job with tracing, structured logs, and Prometheus metrics so every job tells you how it’s doing. • Publish Grafana dashboards and alerts for latency, throughput, and failure rates; act on them before users notice. • Partner with DevOps to containerize workloads and automate deployments. • Automate reconciliation checks, confirm completeness, and replay late or corrected records to maintain pristine datasets. • Collaborate with stakeholders to verify data completeness, run automated reconciliation checks, and re-process late or corrected data. Rust, Rust programming, AWS, GCP, Kafka, NATS, Grafana/Prometheus, Blockchain • Proficient in Rust – comfortable with ownership, borrowing, async/await, cargo tooling, and profiling/optimisation. • Stream-processing – have built or maintained high-throughput pipelines on NATS (ideal) or Kafka. • Deep systems engineering skills – you think about concurrency models, memory footprints, network I/O, back-pressure, and graceful degradation; can instrument code with tracing, metrics, and logs. • ClickHouse (or similar OLAP) – able to design MergeTree tables, reason about partitions / order-by keys, and optimise bulk inserts. • Cloud– have deployed containerised workloads on AWS or GCP, wired up CI/CD, and tuned instance types or autoscaling groups. • Nice-to-have – exposure to blockchain or high-volume financial data streams.

Signals

Skill node-backend-developer
0.47
Alias backend-engineer
1.00
KRA devops-engineer
0.60

Post-classification

Centroidupdated · n=7
Alias collision log
New-role queue
New skills captured8
New KRA capturedyes

Captured for admin review

Blockchain Streaming / Real-Time Data Engineer pending
Cargo primary Streaming / Real-Time Data Engineer pending
Containerization primary Streaming / Real-Time Data Engineer pending
ClickHouse primary Streaming / Real-Time Data Engineer pending
MergeTree primary Streaming / Real-Time Data Engineer pending
OLAP primary Streaming / Real-Time Data Engineer pending
Concurrency primary Streaming / Real-Time Data Engineer pending
Back-pressure primary Streaming / Real-Time Data Engineer pending
R&R fragment (sim 0.00) Streaming / Real-Time Data Engineer pending

• Design, build, and scale streaming workflows that move and process multi-terabyte (and rapidly growing) datasets. • Guarantee end-to-end reliability by owning performance, fault-tolerance, and cos…

Status: completed Created: 2026-05-27T15:50:08.073517Z Updated: 2026-06-12T15:52:51.410939Z API 3 duration: 72921 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 building and operating high-throughput streaming workflows, reliability, observability, reconciliation, and replay of data pipelines, which best matches a Streaming / Real-Time Data Engineer.

Matched skills

RustAWSGCPKafkaNATSGrafanaPrometheusClickHousetracingstructured logsasync/awaitcargoprofiling/optimisationCI/CDcontainerize workloads

Matched dimensions

Streaming workflow engineeringEnd-to-end pipeline reliabilityObservability and alertingData reconciliation and replayCloud deployment and automationSystems engineering and performance tuningOLAP data store optimization

Matched KRAs

Design, build, and scale streaming workflowsOwn performance, fault-tolerance, and cost efficiencyInstrument every job with tracing, structured logs, and Prometheus metricsPublish Grafana dashboards and alertsAct on them before users noticePartner with DevOps to containerize workloadsAutomate deploymentsAutomate reconciliation checksconfirm completenessreplay late or corrected records

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
1
Skipped

Job description

Experience: 1.00 + years

Salary: INR 2500000.00 / year (based on experience)

Expected Notice Period: 15 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Yugen AI)

(*Note: This is a requirement for one of Uplers' client - Yugen AI)

What do you need for this opportunity?

Must have skills required:

Rust, Rust programming, AWS, GCP, Kafka, NATS, Grafana/Prometheus, Blockchain

Yugen AI is Looking for:

We are looking for backend Engineers with 1–3 years of production experience shipping

and supporting backend code. You will be a part of our team owning the real-time

ingestion and analytics layer that powers customer-facing dashboards, trading tools and

research.

Responsibilities

• Design, build, and scale streaming workflows that move and process multi-terabyte



(and rapidly growing) datasets.

• Guarantee end-to-end reliability by owning performance, fault-tolerance, and cost



efficiency from source to sink.

• Instrument every job with tracing, structured logs, and Prometheus metrics so every



job tells you how it’s doing.

• Publish Grafana dashboards and alerts for latency, throughput, and failure rates; act



on them before users notice.

• Partner with DevOps to containerize workloads and automate deployments.
• Automate reconciliation checks, confirm completeness, and replay late or corrected



records to maintain pristine datasets.

• Collaborate with stakeholders to verify data completeness, run automated



reconciliation checks, and re-process late or corrected data.

Skills

• Proficient in Rust – comfortable with ownership, borrowing, async/await, cargo



tooling, and profiling/optimisation.

• Stream-processing – have built or maintained high-throughput pipelines on NATS



(ideal) or Kafka.

• Deep systems engineering skills – you think about concurrency models, memory



footprints, network I/O, back-pressure, and graceful degradation; can instrument

code with tracing, metrics, and logs.

• ClickHouse (or similar OLAP) – able to design MergeTree tables, reason about



partitions / order-by keys, and optimise bulk inserts.

• Cloud– have deployed containerised workloads on AWS or GCP, wired up



CI/CD, and tuned instance types or autoscaling groups.

• Nice-to-have – exposure to blockchain or high-volume financial data streams.



How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!



About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Skills from this JD

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

Rust Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Rust id=999 · rust

Aliases — catalog

  • Rust (CANONICAL) primary

Context tags (catalog)

Actix Borrowing Cargo Clippy Concurrency Crates FFI Macros Ownership Pattern matching Rustacean Rustfmt Serde Tokio Traits WebAssembly async/await borrowing ownership pattern matching serde traits

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
Mozilla
License
apache_2
Year introduced
2010
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Rust appears in many modern job postings for systems, infra, and security roles, and its GitHub ecosystem continues to grow; it’s now a common hiring-pipeline skill rather than a niche language.

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)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Systems Programming Catalog dimension db id 166

    Library dimension (catalog)

  • Video Codec Languages and DSLs Catalog dimension db id 225

    Library dimension (catalog)

    Roles linked in library: Video Codec Engineer

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)
Systems Programming
d_init_02
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Video Codec Languages and DSLs
video-codec-languages-and-dsls
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)
GCP Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GCP id=186 · gcp

Aliases — catalog

  • GCP (CANONICAL) primary

Context tags (catalog)

Anthos App Engine Artifact Registry BigQuery Cloud Build Cloud Composer Cloud Functions Cloud Logging Cloud Monitoring Cloud Run Cloud SQL Cloud Spanner Cloud Storage Compute Engine Dataflow GKE IAM Kubernetes Pub/Sub Service Accounts Stackdriver Terraform VPC

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Google
License
other_open
Year introduced
2011
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: GCP appears frequently in cloud/platform job descriptions and is a major hyperscaler alongside AWS/Azure, with broad enterprise adoption and active vendor investment.

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

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)
Kafka Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Kafka id=36 · kafka

Aliases — catalog

  • Kafka (CANONICAL) primary

Context tags (catalog)

Apache Flink Apache Kafka Apache Pulsar Apache Spark Avro KSQL Kafka API Kafka Connect Kafka Streams ZooKeeper Zookeeper backpressure brokers consumer consumer group consumer groups event sourcing event-driven architecture exactly-once semantics fault tolerance high throughput log compaction message broker message queue microservices offsets partition partitioning partitions producer producer API real-time analytics real-time data replication schema registry stream processing topic topic partitioning topics

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Event Stream Store
Vendor
Confluent
License
apache_2
Year introduced
2011
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Kafka appears in many production JDs for event streaming and data pipelines, and remains a standard platform in cloud/vendor offerings (e.g., Confluent, AWS MSK), indicating broad hiring demand.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
3533
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

  • Messaging and Background Jobs Catalog dimension db id 291

    Library dimension (catalog)

    Roles linked in library: PHP Backend Developer, Python Backend Developer, Ruby Backend Developer

  • 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
Asynchronous Messaging and Event Streaming
asynchronous-messaging-and-event-streaming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Messaging and Background Jobs
messaging-and-background-jobs
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Messaging and Event Streaming
messaging-and-event-streaming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
NATS Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: NATS id=2441 · nats

Aliases — catalog

  • NATS (CANONICAL) primary

Context tags (catalog)

API gateway JetStream NATS CLI NATS JetStream NATS Streaming NATS server Pub/Sub asynchronous messaging cloud-native distributed systems event-driven gRPC high availability load balancing message durability message queue microservices pub/sub scalability service mesh stream processing

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Message Broker
Vendor
Synadia
License
apache_2
Year introduced
2016
Confidence
0.70
Version strategy
NOT_APPLICABLE

Maturity reasoning: NATS appears in growing numbers of cloud-native and microservices JDs, especially alongside Kubernetes and event-driven systems, but it is still far less common than Kafka/RabbitMQ in broad hiring pipelines.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
2625
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)
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)
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)
Blockchain 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
async/await Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: async/await id=81 · async-await

Aliases — catalog

  • async/await (CANONICAL) primary

Context tags (catalog)

Concurrency ES2017 ES6 I/O operations JavaScript Node.js Promise Promise.all RxJS Task async function async functions async iterator async iterators asynchronous asynchronous control flow asynchronous programming asyncio await expression await expressions awaitable backpressure callback callbacks concurrency control flow coroutines deadlock error handling event loop futures generator microtask microtask queue microtasks non-blocking non-blocking I/O parallelism performance promise chaining promises race condition reactive programming streaming synchronous task scheduling

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Asynchronous Programming Concept
Confidence
0.95
Version strategy
NOT_APPLICABLE

Maturity reasoning: Async/await is a standard async programming pattern across JavaScript, Python, C#, and Rust; it appears routinely in job descriptions and is built into major language runtimes, indicating broad adoption.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
449
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • C# and .NET Languages Catalog dimension db id 362

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer

  • Concurrency and Async Workflows Catalog dimension db id 292

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Python Backend Developer

  • Concurrency and Parallel Processing Catalog dimension db id 17

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Java Backend Developer, Node.js Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Dart Programming Catalog dimension db id 311

    Library dimension (catalog)

    Roles linked in library: Flutter Developer

  • JavaScript and TypeScript Catalog dimension db id 114

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, Ionic Developer, Node.js Backend Developer, React Frontend Developer, React Native Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
C# and .NET Languages
c-and-net-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Concurrency and Async Workflows
concurrency-and-async-workflows
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Concurrency and Parallel Processing
concurrency-and-parallel-processing
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Dart Programming
dart-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cargo 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
Container Orchestration
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Tracing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: tracing id=2389 · tracing

Aliases — catalog

  • tracing (CANONICAL) primary

Context tags (catalog)

APM Jaeger OpenTelemetry OpenTracing Zipkin context propagation distributed systems distributed tracing end-to-end tracing instrumentation latency latency analysis microservices observability performance monitoring root cause analysis sampling service mesh span trace ID trace context trace visualization

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Observability Concept
Confidence
0.92
Version strategy
NOT_APPLICABLE

Maturity reasoning: Distributed tracing is now a standard observability requirement in many JDs, especially for microservices and cloud-native roles; OpenTelemetry has become the common vendor-neutral signal, replacing ad hoc tracing setups.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
752
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • 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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
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)
Structured Logging Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: structured logging id=50 · structured-logging

Aliases — catalog

  • structured logging (CANONICAL) primary
  • Structured logging (CANONICAL)

Context tags (catalog)

ELK stack Graylog JSON Kibana Logstash OpenTelemetry Splunk application performance audit trail audit trails correlation ID data serialization data visualization debugging event logging event schema fluentd key-value pairs log aggregation log analysis log enrichment log levels log management log parsing logging framework logging frameworks logstash machine-readable logs monitoring observability performance metrics performance monitoring queryable logs schema validation serilog structured data trace ID traceability

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Structured Logging
Confidence
0.91
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly required in JDs for observability/SRE roles and supported by major stacks (e.g., JSON logs in ELK, Datadog, OpenTelemetry); market demand is broad rather than niche.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1664
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

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)
Containerization 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
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)
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
MergeTree 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
OLAP 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
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
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Back-pressure 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
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Autoscaling Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: autoscaling id=858 · autoscaling

Aliases — catalog

  • autoscaling (CANONICAL) primary

Context tags (catalog)

AWS Auto Scaling Kubernetes capacity planning cloud infrastructure container orchestration cost efficiency dynamic scaling elasticity horizontal scaling load balancing performance tuning resource optimization scaling policies serverless architecture vertical scaling

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Scaling Concept
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Autoscaling is a standard cloud/Kubernetes capability and appears routinely in AWS, GCP, Azure, and Kubernetes job descriptions, with vendor docs and managed services built around it.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
604
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

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)

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
Rust in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Rust in_db
Systems Programming
d_init_02
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Rust in_db
Video Codec Languages and DSLs
video-codec-languages-and-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP in_db
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kafka in_db
Asynchronous Messaging and Event Streaming
asynchronous-messaging-and-event-streaming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kafka in_db
Messaging and Background Jobs
messaging-and-background-jobs
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kafka in_db
Messaging and Event Streaming
messaging-and-event-streaming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
NATS in_db
Asynchronous Messaging and Event Streaming
asynchronous-messaging-and-event-streaming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Grafana in_db
Backend Observability, Logging, and Diagnostics
backend-observability-logging-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Grafana in_db
Observability and Incident Response
observability-and-incident-response
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Grafana in_db
Observability and Incident Triage
observability-and-incident-triage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Grafana in_db
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Prometheus in_db
Backend Observability, Logging, and Diagnostics
backend-observability-logging-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Prometheus in_db
Observability and Incident Response
observability-and-incident-response
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Prometheus in_db
Observability and Incident Triage
observability-and-incident-triage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Prometheus in_db
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
async/await in_db
C# and .NET Languages
c-and-net-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
async/await in_db
Concurrency and Async Workflows
concurrency-and-async-workflows
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
async/await in_db
Concurrency and Parallel Processing
concurrency-and-parallel-processing
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
async/await in_db
Dart Programming
dart-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
async/await in_db
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Tracing in_db
Observability and Diagnostics
observability-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Tracing in_db
Observability and Incident Response
observability-and-incident-response
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Structured Logging in_db
Backend Observability, Logging, and Diagnostics
backend-observability-logging-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Structured Logging in_db
Observability and Diagnostics
observability-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Structured Logging in_db
Observability and Incident Response
observability-and-incident-response
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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)
Back-pressure new
Performance and Scalability Tuning
performance-and-scalability-tuning
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Autoscaling in_db
Container Orchestration Platforms
container-orchestration-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Blockchain | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Cargo | type=Container Orchestration subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Containerization | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed ClickHouse | type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed MergeTree | type=Databases subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed OLAP | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Concurrency | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
dimension_skill_link_proposed Back-pressure ↔ Performance and Scalability Tuning
nano JD Parser — gpt-4.1-nano click to toggle
RoleBackend Engineer
CompanyUplers
Experience1–3 years of production experience
CTC{'max': 2500000, 'min': 2500000, 'raw': 'INR 2500000.00 / year', 'period': 'annual', 'currency': 'INR'}
DomainIT Services & Consulting
Location India (remote)
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "Our goal is to make",
      "last_5_words": "you may face during the engagement."
    },
    "text": "Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.",
    "word_count": 64
  },
  "certifications": [],
  "company_name": "Uplers",
  "ctc": {
    "currency": "INR",
    "max": 2500000,
    "min": 2500000,
    "period": "annual",
    "raw": "INR 2500000.00 / year"
  },
  "domain": {
    "primary": {
      "aliases": [
        "Tech Consulting",
        "Software Development"
      ],
      "domain": "IT Services \u0026 Consulting"
    },
    "secondary": null
  },
  "education": [],
  "experience": {
    "max": 3,
    "min": 1,
    "raw": "1\u20133 years of production experience"
  },
  "job_locations": [
    {
      "aliases": [
        "IST"
      ],
      "city": null,
      "country": "India",
      "state": null,
      "work_mode": "remote"
    }
  ],
  "role": "Backend Engineer",
  "role_aliases": [
    "Backend Developer",
    "Software Engineer",
    "Rust Engineer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 7,
      "heading": "Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Design, build, and scale",
        "last_5_words": "re-process late or corrected data."
      },
      "text": "\u2022 Design, build, and scale streaming workflows that move and process multi-terabyte\n\n(and rapidly growing) datasets.\n\n\u2022 Guarantee end-to-end reliability by owning performance, fault-tolerance, and cost\n\nefficiency from source to sink.\n\n\u2022 Instrument every job with tracing, structured logs, and Prometheus metrics so every\n\njob tells you how it\u2019s doing.\n\n\u2022 Publish Grafana dashboards and alerts for latency, throughput, and failure rates; act\n\non them before users notice.\n\n\u2022 Partner with DevOps to containerize workloads and automate deployments.\n\u2022 Automate reconciliation checks, confirm completeness, and replay late or corrected\n\nrecords to maintain pristine datasets.\n\n\u2022 Collaborate with stakeholders to verify data completeness, run automated\n\nreconciliation checks, and re-process late or corrected data.",
      "word_count": 134
    },
    {
      "bullet_count": 0,
      "heading": "Must have skills required",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Rust, Rust programming, AWS,",
        "last_5_words": "Grafana/Prometheus, Blockchain"
      },
      "text": "Rust, Rust programming, AWS, GCP, Kafka, NATS, Grafana/Prometheus, Blockchain",
      "word_count": 13
    },
    {
      "bullet_count": 6,
      "heading": "Skills",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Proficient in Rust \u2013 comfortable",
        "last_5_words": "or high-volume financial data streams."
      },
      "text": "\u2022 Proficient in Rust \u2013 comfortable with ownership, borrowing, async/await, cargo\n\ntooling, and profiling/optimisation.\n\n\u2022 Stream-processing \u2013 have built or maintained high-throughput pipelines on NATS\n\n(ideal) or Kafka.\n\n\u2022 Deep systems engineering skills \u2013 you think about concurrency models, memory\n\nfootprints, network I/O, back-pressure, and graceful degradation; can instrument\n\ncode with tracing, metrics, and logs.\n\n\u2022 ClickHouse (or similar OLAP) \u2013 able to design MergeTree tables, reason about\n\npartitions / order-by keys, and optimise bulk inserts.\n\n\u2022 Cloud\u2013 have deployed containerised workloads on AWS or GCP, wired up\n\nCI/CD, and tuned instance types or autoscaling groups.\n\n\u2022 Nice-to-have \u2013 exposure to blockchain or high-volume financial data streams.",
      "word_count": 139
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Rust"
    },
    {
      "is_primary": true,
      "skill_name": "AWS"
    },
    {
      "is_primary": true,
      "skill_name": "GCP"
    },
    {
      "is_primary": true,
      "skill_name": "Kafka"
    },
    {
      "is_primary": true,
      "skill_name": "NATS"
    },
    {
      "is_primary": true,
      "skill_name": "Grafana"
    },
    {
      "is_primary": true,
      "skill_name": "Prometheus"
    },
    {
      "is_primary": false,
      "skill_name": "Blockchain"
    },
    {
      "is_primary": true,
      "skill_name": "async/await"
    },
    {
      "is_primary": true,
      "skill_name": "Cargo"
    },
    {
      "is_primary": true,
      "skill_name": "Tracing"
    },
    {
      "is_primary": true,
      "skill_name": "Structured Logging"
    },
    {
      "is_primary": true,
      "skill_name": "Containerization"
    },
    {
      "is_primary": true,
      "skill_name": "CI/CD"
    },
    {
      "is_primary": true,
      "skill_name": "ClickHouse"
    },
    {
      "is_primary": true,
      "skill_name": "MergeTree"
    },
    {
      "is_primary": true,
      "skill_name": "OLAP"
    },
    {
      "is_primary": true,
      "skill_name": "Concurrency"
    },
    {
      "is_primary": true,
      "skill_name": "Back-pressure"
    },
    {
      "is_primary": true,
      "skill_name": "Autoscaling"
    }
  ],
  "jd_role": {
    "display_name": "Backend Engineer",
    "rationale": null,
    "role_aliases": [
      "Backend Developer",
      "Software Engineer",
      "Rust Engineer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "Our goal is to make",
        "last_5_words": "you may face during the engagement."
      },
      "text": "Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.",
      "word_count": 64
    },
    "certifications": [],
    "company_name": "Uplers",
    "ctc": {
      "currency": "INR",
      "max": 2500000,
      "min": 2500000,
      "period": "annual",
      "raw": "INR 2500000.00 / year"
    },
    "domain": {
      "primary": {
        "aliases": [
          "Tech Consulting",
          "Software Development"
        ],
        "domain": "IT Services \u0026 Consulting"
      },
      "secondary": null
    },
    "education": [],
    "experience": {
      "max": 3,
      "min": 1,
      "raw": "1\u20133 years of production experience"
    },
    "job_locations": [
      {
        "aliases": [
          "IST"
        ],
        "city": null,
        "country": "India",
        "state": null,
        "work_mode": "remote"
      }
    ],
    "role": "Backend Engineer",
    "role_aliases": [
      "Backend Developer",
      "Software Engineer",
      "Rust Engineer"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 7,
        "heading": "Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Design, build, and scale",
          "last_5_words": "re-process late or corrected data."
        },
        "text": "\u2022 Design, build, and scale streaming workflows that move and process multi-terabyte\n\n(and rapidly growing) datasets.\n\n\u2022 Guarantee end-to-end reliability by owning performance, fault-tolerance, and cost\n\nefficiency from source to sink.\n\n\u2022 Instrument every job with tracing, structured logs, and Prometheus metrics so every\n\njob tells you how it\u2019s doing.\n\n\u2022 Publish Grafana dashboards and alerts for latency, throughput, and failure rates; act\n\non them before users notice.\n\n\u2022 Partner with DevOps to containerize workloads and automate deployments.\n\u2022 Automate reconciliation checks, confirm completeness, and replay late or corrected\n\nrecords to maintain pristine datasets.\n\n\u2022 Collaborate with stakeholders to verify data completeness, run automated\n\nreconciliation checks, and re-process late or corrected data.",
        "word_count": 134
      },
      {
        "bullet_count": 0,
        "heading": "Must have skills required",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Rust, Rust programming, AWS,",
          "last_5_words": "Grafana/Prometheus, Blockchain"
        },
        "text": "Rust, Rust programming, AWS, GCP, Kafka, NATS, Grafana/Prometheus, Blockchain",
        "word_count": 13
      },
      {
        "bullet_count": 6,
        "heading": "Skills",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Proficient in Rust \u2013 comfortable",
          "last_5_words": "or high-volume financial data streams."
        },
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    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "a7e83657-ebf6-4092-9f4b-6a5767092a6d",
  "stage3_signals": {
    "alias_found": true,
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        "display_name": "Backend Developer",
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    ],
    "kra_match_roles": [
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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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        "display_name": "Data Engineer",
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      {
        "display_name": "Ruby Backend Developer",
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      {
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            "kra_text": "automated backend regression checks",
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        ],
        "matched_count": null,
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    ],
    "skill_match_roles": [
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        "display_name": "Node.js Backend Developer",
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        "matched_skills": [
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      {
        "display_name": ".NET Backend Developer",
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        "display_name": "Scala Backend Developer",
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        "matched_count": 8,
        "matched_skills": [
          "AWS",
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          "Grafana",
          "Kafka",
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          "async/await",
          "structured logging"
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        "role_id": 87,
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      },
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": 8,
        "matched_skills": [
          "AWS",
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          "Prometheus",
          "async/await",
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          "tracing"
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        "role_id": 1,
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        "slug": "backend-engineer",
        "total_count": 19
      },
      {
        "display_name": "Kotlin Backend Developer",
        "kra_matches": null,
        "matched_count": 7,
        "matched_skills": [
          "AWS",
          "GCP",
          "Grafana",
          "Kafka",
          "NATS",
          "Prometheus",
          "structured logging"
        ],
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    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
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      "display_name": "Streaming / Real-Time Data Engineer",
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      "matched_count": null,
      "matched_skills": null,
      "role_id": 149,
      "score": 0.98,
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      "total_count": null
    },
    "confidence": 0.98,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Streaming workflow engineering",
      "End-to-end pipeline reliability",
      "Observability and alerting",
      "Data reconciliation and replay",
      "Cloud deployment and automation",
      "Systems engineering and performance tuning",
      "OLAP data store optimization"
    ],
    "matched_kras": [
      "Design, build, and scale streaming workflows",
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      "Instrument every job with tracing, structured logs, and Prometheus metrics",
      "Publish Grafana dashboards and alerts",
      "Act on them before users notice",
      "Partner with DevOps to containerize workloads",
      "Automate deployments",
      "Automate reconciliation checks",
      "confirm completeness",
      "replay late or corrected records"
    ],
    "matched_skills": [
      "Rust",
      "AWS",
      "GCP",
      "Kafka",
      "NATS",
      "Grafana",
      "Prometheus",
      "ClickHouse",
      "tracing",
      "structured logs",
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      "cargo",
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      "CI/CD",
      "containerize workloads"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Data Engineering \u0026 Analytics; The JD centers on building and operating high-throughput streaming workflows, reliability, observability, reconciliation, and replay of data pipelines, which best matches a Streaming / Real-Time Data Engineer.",
    "sub_role": null
  },
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    "centroid_n_after": 7,
    "centroid_updated": true,
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    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 1192,
      "r_and_r_preview": "\u2022 Design, build, and scale streaming workflows that move and process multi-terabyte\n\n(and rapidly growing) datasets.\n\n\u2022 Guarantee end-to-end reliability by owning performance, fault-tolerance, and cos",
      "role_display_name": "Streaming / Real-Time Data Engineer",
      "role_slug": "streaming-real-time-data-engineer",
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    "new_skills_attached": [
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        "queue_id": 16618,
        "role_display_name": "Streaming / Real-Time Data Engineer",
        "role_slug": "streaming-real-time-data-engineer",
        "skill_name": "Blockchain",
        "status": "pending"
      },
      {
        "is_primary": true,
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        "role_display_name": "Streaming / Real-Time Data Engineer",
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        "skill_name": "Cargo",
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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": "Containerization",
        "status": "pending"
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      {
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        "role_display_name": "Streaming / Real-Time Data Engineer",
        "role_slug": "streaming-real-time-data-engineer",
        "skill_name": "ClickHouse",
        "status": "pending"
      },
      {
        "is_primary": true,
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        "role_display_name": "Streaming / Real-Time Data Engineer",
        "role_slug": "streaming-real-time-data-engineer",
        "skill_name": "MergeTree",
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      },
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        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 16624,
        "role_display_name": "Streaming / Real-Time Data Engineer",
        "role_slug": "streaming-real-time-data-engineer",
        "skill_name": "Concurrency",
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        "is_primary": true,
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        "skill_name": "Back-pressure",
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}
API 2 — extract-details
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      "existing_alias_id": 1610,
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
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        "typical_lifespan": "EVERGREEN",
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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": "AWS",
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        "is_extractable": true,
        "skill_nature": "PLATFORM",
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        "typical_lifespan": "EVERGREEN",
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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,
      "existing_alias_id": 405,
      "existing_alias_text": "GCP",
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      "matched_canonical": {
        "category_id": 9,
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "gcp",
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        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 173,
      "existing_alias_text": "Kafka",
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        "display_name": "Kafka",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
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        "sub_category_id": 3533,
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      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 3746,
      "existing_alias_text": "NATS",
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        "is_also_category": false,
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        "skill_nature": "TOOL",
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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": "Grafana",
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      "matched_canonical": {
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        "is_also_category": false,
        "is_extractable": true,
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        "typical_lifespan": "EVERGREEN",
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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,
      "existing_alias_id": 183,
      "existing_alias_text": "Prometheus",
      "input_term": "Prometheus",
      "matched_canonical": {
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        "is_also_category": false,
        "is_extractable": true,
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        "volatility": "STABLE"
      },
      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 222,
      "existing_alias_text": "async/await",
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      "matched_canonical": {
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        "is_also_category": false,
        "is_extractable": true,
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        "slug": "async-await",
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        "typical_lifespan": "EVERGREEN",
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      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 3685,
      "existing_alias_text": "tracing",
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      "matched_canonical": {
        "category_id": 2,
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
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        "typical_lifespan": "EVERGREEN",
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      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 3561,
      "existing_alias_text": "Structured logging",
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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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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
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        "typical_lifespan": "EVERGREEN",
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      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
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        "is_also_category": false,
        "is_extractable": true,
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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,
      "existing_alias_id": 1406,
      "existing_alias_text": "autoscaling",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
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        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    }
  ],
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      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Asynchronous Messaging and Event Streaming",
        "id": 297,
        "rationale": "Asynchronous communication patterns and broker technologies used to decouple backend services and move work off the request path. Includes queues, pub/sub, event streams, consumer groups, dead-letter queues, and delivery semantics across systems such as Kafka, RabbitMQ, NATS, SQS/SNS, Pulsar, and ActiveMQ.",
        "slug": "asynchronous-messaging-and-event-streaming",
        "source": "db"
      },
      "input_skill": "NATS",
      "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": "Go Backend Developer",
          "id": 81,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "go-backend-developer",
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        },
        {
          "display_name": "Kotlin Backend Developer",
          "id": 84,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "kotlin-server-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Node.js Backend Developer",
          "id": 82,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "node-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Scala Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "scala-backend-developer",
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        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Backend Observability, Logging, and Diagnostics",
        "id": 388,
        "rationale": "Instrumentation and troubleshooting practices used to understand and improve backend service behavior in production and lower environments. This includes logs, metrics, traces, alerting, dashboards, structured logging, distributed tracing, health checks, and root-cause analysis using ecosystem-specific tools such as SLF4J, Logback, Micrometer, OpenTelemetry, Prometheus, Grafana, ILogger, Serilog, and Application Insights.",
        "slug": "backend-observability-logging-and-diagnostics",
        "source": "db"
      },
      "input_skill": "Grafana",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Kotlin Backend Developer",
          "id": 84,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "kotlin-server-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Scala Backend Developer",
          "id": 87,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "scala-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "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": "Grafana",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": ".NET Backend Developer",
          "id": 83,
          "rationale": null,
          "role_archetype": "Engineering",
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        },
        {
          "display_name": "Backend Developer",
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          "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 Incident Triage",
        "id": 155,
        "rationale": "Telemetry, alerting, and troubleshooting practices used to diagnose failed builds, broken deployments, and unhealthy release environments. This is a coherent cluster because delivery reliability depends on quickly identifying where the workflow failed.",
        "slug": "observability-and-incident-triage",
        "source": "db"
      },
      "input_skill": "Grafana",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 10,
          "rationale": null,
          "role_archetype": null,
          "slug": "devops-engineer",
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        }
      ]
    },
    {
      "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": "Grafana",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Architect",
          "id": 9,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-architect",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Backend Observability, Logging, and Diagnostics",
        "id": 388,
        "rationale": "Instrumentation and troubleshooting practices used to understand and improve backend service behavior in production and lower environments. This includes logs, metrics, traces, alerting, dashboards, structured logging, distributed tracing, health checks, and root-cause analysis using ecosystem-specific tools such as SLF4J, Logback, Micrometer, OpenTelemetry, Prometheus, Grafana, ILogger, Serilog, and Application Insights.",
        "slug": "backend-observability-logging-and-diagnostics",
        "source": "db"
      },
      "input_skill": "Prometheus",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Kotlin Backend Developer",
          "id": 84,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "kotlin-server-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Scala Backend Developer",
          "id": 87,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "scala-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "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": "Prometheus",
      "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 Incident Triage",
        "id": 155,
        "rationale": "Telemetry, alerting, and troubleshooting practices used to diagnose failed builds, broken deployments, and unhealthy release environments. This is a coherent cluster because delivery reliability depends on quickly identifying where the workflow failed.",
        "slug": "observability-and-incident-triage",
        "source": "db"
      },
      "input_skill": "Prometheus",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 10,
          "rationale": null,
          "role_archetype": null,
          "slug": "devops-engineer",
          "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": "Prometheus",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Architect",
          "id": 9,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-architect",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "C# and .NET Languages",
        "id": 362,
        "rationale": "Primary implementation languages and runtime features used to build backend service logic in the .NET ecosystem. This is the core coding surface for request handling, domain logic, and service internals.",
        "slug": "c-and-net-languages",
        "source": "db"
      },
      "input_skill": "async/await",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": ".NET Backend Developer",
          "id": 83,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "dotnet-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Concurrency and Async Workflows",
        "id": 292,
        "rationale": "Programming techniques for handling concurrent requests, asynchronous I/O, and coordination of background execution in Python services. This cluster is coherent because backend developers must safely manage throughput and responsiveness.",
        "slug": "concurrency-and-async-workflows",
        "source": "db"
      },
      "input_skill": "async/await",
      "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": "Python Backend Developer",
          "id": 80,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "python-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Concurrency and Parallel Processing",
        "id": 17,
        "rationale": "Programming techniques for handling multiple requests and background work safely and efficiently. Includes synchronization, async execution, and coordination of concurrent tasks.",
        "slug": "concurrency-and-parallel-processing",
        "source": "db"
      },
      "input_skill": "async/await",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Backend Developer",
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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.",
          "slug": "backend-engineer",
          "source": "db"
        },
        {
          "display_name": "Java Backend Developer",
          "id": 79,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "java-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Node.js Backend Developer",
          "id": 82,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "node-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Ruby Backend Developer",
          "id": 85,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "ruby-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Scala Backend Developer",
          "id": 87,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "scala-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Dart Programming",
        "id": 311,
        "rationale": "Core implementation language used to build Flutter app logic, UI composition, and client-side feature code. This is the primary coding surface for shared cross-platform app development.",
        "slug": "dart-programming",
        "source": "db"
      },
      "input_skill": "async/await",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Flutter Developer",
          "id": 74,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "flutter-developer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "JavaScript and TypeScript",
        "id": 114,
        "rationale": "Primary implementation languages for browser client code, UI logic, and shared frontend utilities. These languages are the main coding surface for building interactive web experiences in this role.",
        "slug": "javascript-and-typescript",
        "source": "db"
      },
      "input_skill": "async/await",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Angular Frontend Developer",
          "id": 90,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "angular-frontend-developer",
          "source": "db"
        },
        {
          "display_name": "Frontend Developer",
          "id": 7,
          "rationale": null,
          "role_archetype": null,
          "slug": "frontend-engineer",
          "source": "db"
        },
        {
          "display_name": "Ionic Developer",
          "id": 434,
          "rationale": null,
          "role_archetype": null,
          "slug": "ionic-developer",
          "source": "db"
        },
        {
          "display_name": "Node.js Backend Developer",
          "id": 82,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "node-backend-developer",
          "source": "db"
        },
        {
          "display_name": "React Frontend Developer",
          "id": 89,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "react-frontend-developer",
          "source": "db"
        },
        {
          "display_name": "React Native Developer",
          "id": 73,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "react-native-developer",
          "source": "db"
        },
        {
          "display_name": "Svelte Frontend Developer",
          "id": 92,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "svelte-frontend-developer",
          "source": "db"
        },
        {
          "display_name": "Vue Frontend Developer",
          "id": 91,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "vue-frontend-developer",
          "source": "db"
        },
        {
          "display_name": "Web Developer",
          "id": 25,
          "rationale": null,
          "role_archetype": null,
          "slug": "web-developer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Observability and Diagnostics",
        "id": 287,
        "rationale": "Instrumentation and troubleshooting practices used to understand Java service behavior in production and lower environments. This cluster covers logs, metrics, traces, correlation IDs, and root-cause analysis from service telemetry.",
        "slug": "observability-and-diagnostics",
        "source": "db"
      },
      "input_skill": "Tracing",
      "llm_role": null,
      "roles_from_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": "Python Backend Developer",
          "id": 80,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "python-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "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": "Tracing",
      "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": "Backend Observability, Logging, and Diagnostics",
        "id": 388,
        "rationale": "Instrumentation and troubleshooting practices used to understand and improve backend service behavior in production and lower environments. This includes logs, metrics, traces, alerting, dashboards, structured logging, distributed tracing, health checks, and root-cause analysis using ecosystem-specific tools such as SLF4J, Logback, Micrometer, OpenTelemetry, Prometheus, Grafana, ILogger, Serilog, and Application Insights.",
        "slug": "backend-observability-logging-and-diagnostics",
        "source": "db"
      },
      "input_skill": "Structured Logging",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Kotlin Backend Developer",
          "id": 84,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "kotlin-server-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Scala Backend Developer",
          "id": 87,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "scala-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Observability and Diagnostics",
        "id": 287,
        "rationale": "Instrumentation and troubleshooting practices used to understand Java service behavior in production and lower environments. This cluster covers logs, metrics, traces, correlation IDs, and root-cause analysis from service telemetry.",
        "slug": "observability-and-diagnostics",
        "source": "db"
      },
      "input_skill": "Structured Logging",
      "llm_role": null,
      "roles_from_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": "Python Backend Developer",
          "id": 80,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "python-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "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": "Structured Logging",
      "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": "CI/CD Pipeline Platforms",
        "id": 150,
        "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.",
        "slug": "ci-cd-pipeline-platforms",
        "source": "db"
      },
      "input_skill": "CI/CD",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 10,
          "rationale": null,
          "role_archetype": null,
          "slug": "devops-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
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      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Cargo",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Container Orchestration",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
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        "skill_id": "cargo",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "tracing",
          "alias_type": "CANONICAL",
          "id": 3685,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "tracing",
        "id": 2389,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "tracing",
        "sub_category_id": 752,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Observability and Diagnostics",
            "id": 287,
            "rationale": "Instrumentation and troubleshooting practices used to understand Java service behavior in production and lower environments. This cluster covers logs, metrics, traces, correlation IDs, and root-cause analysis from service telemetry.",
            "slug": "observability-and-diagnostics",
            "source": "db"
          },
          "input_skill": "Tracing",
          "llm_role": null,
          "roles_from_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": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "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": "Tracing",
          "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"
            }
          ]
        }
      ],
      "input_skill": "Tracing",
      "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": [
        {
          "alias_text": "structured logging",
          "alias_type": "CANONICAL",
          "id": 187,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Structured logging",
          "alias_type": "CANONICAL",
          "id": 3561,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "structured logging",
        "id": 50,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "structured-logging",
        "sub_category_id": 1664,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Backend Observability, Logging, and Diagnostics",
            "id": 388,
            "rationale": "Instrumentation and troubleshooting practices used to understand and improve backend service behavior in production and lower environments. This includes logs, metrics, traces, alerting, dashboards, structured logging, distributed tracing, health checks, and root-cause analysis using ecosystem-specific tools such as SLF4J, Logback, Micrometer, OpenTelemetry, Prometheus, Grafana, ILogger, Serilog, and Application Insights.",
            "slug": "backend-observability-logging-and-diagnostics",
            "source": "db"
          },
          "input_skill": "Structured Logging",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Kotlin Backend Developer",
              "id": 84,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "kotlin-server-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Observability and Diagnostics",
            "id": 287,
            "rationale": "Instrumentation and troubleshooting practices used to understand Java service behavior in production and lower environments. This cluster covers logs, metrics, traces, correlation IDs, and root-cause analysis from service telemetry.",
            "slug": "observability-and-diagnostics",
            "source": "db"
          },
          "input_skill": "Structured Logging",
          "llm_role": null,
          "roles_from_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": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "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": "Structured Logging",
          "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"
            }
          ]
        }
      ],
      "input_skill": "Structured Logging",
      "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": "Containerization",
      "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": "containerization",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "CI/CD",
          "alias_type": "CANONICAL",
          "id": 1826,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "CI/CD",
        "id": 1190,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "ci-cd",
        "sub_category_id": 900,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD Pipeline Platforms",
            "id": 150,
            "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.",
            "slug": "ci-cd-pipeline-platforms",
            "source": "db"
          },
          "input_skill": "CI/CD",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD for Machine Learning",
            "id": 56,
            "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
            "slug": "ci-cd-for-machine-learning",
            "source": "db"
          },
          "input_skill": "CI/CD",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "CI/CD",
      "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": "ClickHouse",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Databases",
          "skill_nature": "TOOL",
          "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": "clickhouse",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "MergeTree",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Databases",
          "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": "mergetree",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "OLAP",
      "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": "olap",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Concurrency",
      "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": "concurrency",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "backpressure",
          "alias_type": "CANONICAL",
          "id": 3818,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "backpressure",
        "id": 2481,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "backpressure",
        "sub_category_id": 1826,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "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"
          },
          "input_skill": "Back-pressure",
          "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"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Back-pressure",
      "matched_via": "embedding_alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "autoscaling",
          "alias_type": "CANONICAL",
          "id": 1406,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "autoscaling",
        "id": 858,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "autoscaling",
        "sub_category_id": 604,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Container Orchestration Platforms",
            "id": 134,
            "rationale": "Platforms that schedule and manage containerized workloads across clusters and environments. Cloud Architects need these to define workload placement standards, cluster boundaries, and platform capabilities.",
            "slug": "container-orchestration-platforms",
            "source": "db"
          },
          "input_skill": "Autoscaling",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            },
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Autoscaling",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Blockchain",
    "Cargo",
    "Containerization",
    "ClickHouse",
    "MergeTree",
    "OLAP",
    "Concurrency"
  ]
}
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 building and operating high-throughput streaming workflows, reliability, observability, reconciliation, and replay of data pipelines, 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": "Rust",
      "tag": "in_db"
    },
    {
      "skill": "AWS",
      "tag": "in_db"
    },
    {
      "skill": "GCP",
      "tag": "in_db"
    },
    {
      "skill": "Kafka",
      "tag": "in_db"
    },
    {
      "skill": "NATS",
      "tag": "in_db"
    },
    {
      "skill": "Grafana",
      "tag": "in_db"
    },
    {
      "skill": "Prometheus",
      "tag": "in_db"
    },
    {
      "skill": "Blockchain",
      "tag": "new"
    },
    {
      "skill": "async/await",
      "tag": "in_db"
    },
    {
      "skill": "Cargo",
      "tag": "new"
    },
    {
      "skill": "Tracing",
      "tag": "in_db"
    },
    {
      "skill": "Structured Logging",
      "tag": "in_db"
    },
    {
      "skill": "Containerization",
      "tag": "new"
    },
    {
      "skill": "CI/CD",
      "tag": "in_db"
    },
    {
      "skill": "ClickHouse",
      "tag": "new"
    },
    {
      "skill": "MergeTree",
      "tag": "new"
    },
    {
      "skill": "OLAP",
      "tag": "new"
    },
    {
      "skill": "Concurrency",
      "tag": "new"
    },
    {
      "skill": "Back-pressure",
      "tag": "in_db"
    },
    {
      "skill": "Autoscaling",
      "tag": "in_db"
    }
  ],
  "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": {
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          "display_name": "React Frontend Development",
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            "display_name": "Go Backend Developer",
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            "rationale": null,
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        ],
        "skill_dimension_saved": true,
        "skill_id": 2389,
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      {
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          "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"
        },
        "dimension_id": 10,
        "input_skill": "Tracing",
        "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"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 2389,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Backend Observability, Logging, and Diagnostics",
          "id": 388,
          "rationale": "Instrumentation and troubleshooting practices used to understand and improve backend service behavior in production and lower environments. This includes logs, metrics, traces, alerting, dashboards, structured logging, distributed tracing, health checks, and root-cause analysis using ecosystem-specific tools such as SLF4J, Logback, Micrometer, OpenTelemetry, Prometheus, Grafana, ILogger, Serilog, and Application Insights.",
          "slug": "backend-observability-logging-and-diagnostics",
          "source": "db"
        },
        "dimension_id": 388,
        "input_skill": "Structured Logging",
        "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": "Kotlin Backend Developer",
            "id": 84,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "kotlin-server-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": 50,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Observability and Diagnostics",
          "id": 287,
          "rationale": "Instrumentation and troubleshooting practices used to understand Java service behavior in production and lower environments. This cluster covers logs, metrics, traces, correlation IDs, and root-cause analysis from service telemetry.",
          "slug": "observability-and-diagnostics",
          "source": "db"
        },
        "dimension_id": 287,
        "input_skill": "Structured Logging",
        "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": "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": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 50,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "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"
        },
        "dimension_id": 10,
        "input_skill": "Structured Logging",
        "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"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 50,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD Pipeline Platforms",
          "id": 150,
          "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.",
          "slug": "ci-cd-pipeline-platforms",
          "source": "db"
        },
        "dimension_id": 150,
        "input_skill": "CI/CD",
        "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": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1190,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD for Machine Learning",
          "id": 56,
          "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
          "slug": "ci-cd-for-machine-learning",
          "source": "db"
        },
        "dimension_id": 56,
        "input_skill": "CI/CD",
        "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": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1190,
        "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": "Back-pressure",
        "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": "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": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Container Orchestration Platforms",
          "id": 134,
          "rationale": "Platforms that schedule and manage containerized workloads across clusters and environments. Cloud Architects need these to define workload placement standards, cluster boundaries, and platform capabilities.",
          "slug": "container-orchestration-platforms",
          "source": "db"
        },
        "dimension_id": 134,
        "input_skill": "Autoscaling",
        "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": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          },
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 858,
        "skill_tag": "in_db",
        "skipped_reason": null
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 1
  },
  "planner_output": null,
  "run_id": "a7e83657-ebf6-4092-9f4b-6a5767092a6d"
}

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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