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Pipeline run

53dfe42d-ef65-41cd-96e5-5107447d66a5

Pipeline LLM cost (USD)
API 1: $0.0093 API 2: $0.0002 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 / Data Platform
Build and tune near-real-time data pipelines for security insights, working with gRPC streaming, storage/formats, and cloud infra; also evaluate/open-source tools and help other teams design on top of the platform.
""Building next generation data pipeline for near real-time ingestion of security insights and intelligence data""
Tech stack maturity
Mainstream Modern
The stack centers on widely adopted real-time and cloud-era technologies like Go, gRPC, HTTP/2, TLS, S3, Avro, Parquet, and Protocol Buffers, indicating a modern but not bleeding-edge platform.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (18)
Golang Java gRPC Protocol Buffers Avro TCP/IP HTTP/2 TLS Authentication Authorization S3 GCS Parquet Iceberg Concurrency Distributed Computing AWS GCP
Skill cluster (6 dimension groups, role-scoped)
Cloud Provider Platforms
AWS GCP
API Standards and Protocols
gRPC
Cloud Platforms
S3
Go Language and Toolchain
Golang
Java Language and JVM
Java
Cross-cutting / unaligned
Protocol Buffers Avro TCP/IP HTTP/2 TLS Authentication Authorization GCS Parquet Iceberg Concurrency Distributed Computing
Show KRA description ↓
Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Platform team is uniquely positioned at the intersection of security, big data and cloud computing. We are responsible for providing ultra low-latency access to global security insights and intelligence data to our customers, and enabling them to act in near real-time. We’re looking for a seasoned engineer to help us build next-generation data pipelines that provide near real-time ingestion of security insights and intelligence data using cloud and open source data technologies. Building next generation data pipeline for near real-time ingestion of security insights and intelligence data Partnering with industry experts in security and big data, product and engineering teams to conceptualize, design and build innovative solutions for hard problems on behalf of our customers. Evaluating open source technologies to find the best fit for our needs and also contributing to some of them! Helping other teams architect their systems on top of the data platform and influencing their architecture. Expertise in architecture and design of highly scalable, efficient and fault-tolerant data pipelines for near real-time and real-time processing. Strong diagnostic and problem-solving skills with a demonstrated ability to invent and simplify complex problems into elegant solutions. Extensive experience designing high-throughput, low-latency data services using gRPC streaming and performance optimizations. Solid grasp of serialization formats (e.g., Protocol Buffers, Avro), network protocols (e.g., TCP/IP, HTTP/2), and security considerations (e.g., TLS, authentication, authorization) in distributed environments. Deep understanding of distributed object storage systems like S3, GCS etc, including their architectures, consistency models, and scaling properties. Deep understanding of data formats like Parquet, Iceberg etc, optimized partitioning, sorting, compression, and read performance. Expert level proficiency in Golang, Java, or similar languages with strong understanding of concurrency, distributed computing and system-level optimizations. Cloud-native data infrastructure experience with AWS, GCP etc is a huge plus. Proven ability to influence technical direction and communicate with clarity. Willingness to work with a globally distributed team in different time zones.

Signals

Skill full-stack-engineer
0.31
Alias data-engineer
1.00
KRA data-engineer
0.59

Post-classification

Centroidupdated · n=3
Alias collision log
New-role queue
New skills captured6
New KRA capturedyes

Captured for admin review

TCP/IP primary Streaming / Real-Time Data Engineer pending
Authorization primary Streaming / Real-Time Data Engineer pending
GCS primary Streaming / Real-Time Data Engineer pending
Iceberg primary Streaming / Real-Time Data Engineer pending
Concurrency primary Streaming / Real-Time Data Engineer pending
Distributed Computing primary Streaming / Real-Time Data Engineer pending
R&R fragment (sim 0.00) Streaming / Real-Time Data Engineer pending

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Platform team is uniquely positio…

Status: completed Created: 2026-05-27T14:38:59.236770Z Updated: 2026-06-12T17:27:56.219832Z API 3 duration: 56047 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 near real-time ingestion, high-throughput low-latency data services, gRPC streaming, and distributed streaming/data pipeline architecture, which best matches a streaming/real-time data engineering role.

Matched skills

gRPC streamingProtocol BuffersAvroTCP/IPHTTP/2TLSauthenticationsauthorizationS3GCSParquetIcebergGolangJavaAWSGCP

Matched dimensions

Near real-time data pipelinesStreaming data ingestionDistributed systems architectureLow-latency data servicesCloud-native data infrastructureOpen source technology evaluationScalable and fault-tolerant processing

Matched KRAs

Building next generation data pipeline for near real-time ingestionDesign highly scalable, efficient and fault-tolerant data pipelinesDesign high-throughput, low-latency data servicesEvaluate open source technologies to find the best fitHelp other teams architect their systems on topInfluence technical direction and communicate with clarity

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
3
Skipped

Job description

Experience: 13.00 + years

Salary: Confidential (based on experience)

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

Opportunity Type: Remote

Placement Type: Full time Permanent Position

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

What do you need for this opportunity?

Must have skills required:

gRPC, Protocol Buffers, Avro, storage systems

Netskope is Looking for:

About The Role

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

The Data Platform team is uniquely positioned at the intersection of security, big data and cloud computing. We are responsible for providing ultra low-latency access to global security insights and intelligence data to our customers, and enabling them to act in near real-time. We’re looking for a seasoned engineer to help us build next-generation data pipelines that provide near real-time ingestion of security insights and intelligence data using cloud and open source data technologies.

What's In It For You

• You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics
• Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products
• You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills.
• What you will be doing
• Building next generation data pipeline for near real-time ingestion of security insights and intelligence data
• Partnering with industry experts in security and big data, product and engineering teams to conceptualize, design and build innovative solutions for hard problems on behalf of our customers. 
• Evaluating open source technologies to find the best fit for our needs and also contributing to some of them! 
• Helping other teams architect their systems on top of the data platform and influencing their architecture.



Required Skills And Experience

• Expertise in architecture and design of highly scalable, efficient and fault-tolerant data pipelines for near real-time and real-time processing
• Strong diagnostic and problem-solving skills with a demonstrated ability to invent and simplify complex problems into elegant solutions.
• Extensive experience designing high-throughput, low-latency data services using gRPC streaming and performance optimizations
• Solid grasp of serialization formats (e.g., Protocol Buffers, Avro), network protocols (e.g., TCP/IP, HTTP/2), and security considerations (e.g., TLS, authentication, authorization) in distributed environments.
• Deep understanding of distributed object storage systems like S3, GCS etc, including their architectures, consistency models, and scaling properties.
• Deep understanding of data formats like Parquet, Iceberg etc, optimized partitioning, sorting, compression, and read performance.
• Expert level proficiency in Golang, Java, or similar languages with strong understanding of concurrency, distributed computing and system-level optimizations 
• Cloud-native data infrastructure experience with AWS, GCP etc is a huge plus
• Proven ability to influence technical direction and communicate with clarity.
• Willingness to work with a globally distributed team in different time zones.



Education

BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred

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.

Golang Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Go id=3 · go

Aliases — catalog

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

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

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

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Go Language and Toolchain Catalog dimension db id 367

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

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

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

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

Aliases — catalog

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

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Java Language and JVM Catalog dimension db id 279

    Library dimension (catalog)

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

  • Kotlin and Java Catalog dimension db id 161

    Library dimension (catalog)

    Roles linked in library: Android Developer

  • Native Mobile Languages Catalog dimension db id 274

    Library dimension (catalog)

    Roles linked in library: Native Mobile Developer

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

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

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Java Language and JVM
java-language-and-jvm
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kotlin and Java
kotlin-and-java
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Native Mobile Languages
native-mobile-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
gRPC Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: gRPC id=13 · grpc

Aliases — catalog

  • gRPC (CANONICAL) primary

Context tags (catalog)

API HTTP/2 IDL Protocol Buffers asynchronous authentication bidirectional streaming caching cancellation circuit breaker client library client-server client-side load balancing code generation deadline deadline propagation deadlines gRPC Gateway gRPC-Web inter-service communication interceptors interoperability load balancing mTLS metadata microservices middleware protobuf reflection server streaming service definition service discovery service mesh stub generation unary RPC

Stored enrichment (catalog DB)

Category
Protocol
Sub-category
Rpc Protocol
Vendor
Google
License
apache_2
Year introduced
2015
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: gRPC appears frequently in backend/microservices job descriptions and is widely supported by major vendors (Google, Cloud providers, Envoy), indicating broad adoption rather than niche use.

Skill profile (library / DB)

Skill nature
PROTOCOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
10
Sub-category id
52
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • API Design and Contracts Catalog dimension db id 3

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer

  • API Interface and Contract Design Catalog dimension db id 289

    Library dimension (catalog)

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

  • API Standards and Protocols Catalog dimension db id 318

    Library dimension (catalog)

    Roles linked in library: Flutter Developer

  • Mobile Protocols & Standards Catalog dimension db id 277

    Library dimension (catalog)

    Roles linked in library: Native Mobile Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
API Design and Contracts
api-design-and-contracts
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
API Standards and Protocols
api-standards-and-protocols
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Mobile Protocols & Standards
mobile-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Protocol Buffers Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Protocol Buffers id=184 · protocol-buffers

Aliases — catalog

  • Protocol Buffers (CANONICAL) primary

Context tags (catalog)

.proto IDL backward compatibility code generation deserialization field numbers gRPC message types oneof optional fields protobuf schema evolution serialization service definitions wire format

Stored enrichment (catalog DB)

Category
Format
Sub-category
Serialization Format
Vendor
Google
License
apache_2
Year introduced
2008
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: Protocol Buffers appears frequently in backend, gRPC, and microservices job descriptions, and Google maintains active releases and docs; it’s a common serialization format rather than a niche tool.

Skill profile (library / DB)

Skill nature
STANDARD
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
4
Sub-category id
88
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Data Serialization Standards & Protocols Catalog dimension db id 37

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Data Serialization Standards & Protocols
data-serialization-standards-protocols
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Avro Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Avro id=174 · avro

Aliases — catalog

  • Avro (CANONICAL) primary

Context tags (catalog)

Apache Kafka Confluent Hadoop IDL JSON Schema Kafka Connect Protocol Buffers Spark binary encoding compact binary data pipeline deserialization schema evolution schema registry serialization

Stored enrichment (catalog DB)

Category
Format
Sub-category
Serialization Format
Vendor
Apache Software Foundation
License
apache_2
Year introduced
2009
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Avro appears frequently in data-platform and streaming job postings, especially alongside Kafka and schema registries; it remains a common serialization format rather than a niche tool.

Skill profile (library / DB)

Skill nature
STANDARD
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
4
Sub-category id
88
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Data Serialization Standards & Protocols Catalog dimension db id 37

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Data Serialization Standards & Protocols
data-serialization-standards-protocols
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
TCP/IP 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
Networking Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
HTTP/2 Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: HTTP/2 id=2097 · http-2

Aliases — catalog

  • HTTP/2 (CANONICAL) primary

Context tags (catalog)

ALPN API design API optimization H2 HTTP/1.1 QUIC TLS binary framing content delivery header compression latency reduction load balancing multiplexing network efficiency network latency server push stream prioritization web performance web security

Stored enrichment (catalog DB)

Category
Protocol
Sub-category
Transport Protocol
Vendor
IETF
License
unknown
Year introduced
2015
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Broadly used in production and commonly listed in backend/networking JDs; major browsers and CDNs support it by default, and it remains the standard successor to HTTP/1.1 rather than a niche or sunset tech.

Skill profile (library / DB)

Skill nature
PROTOCOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
10
Sub-category id
3209
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Mobile Protocols & Standards Catalog dimension db id 277

    Library dimension (catalog)

    Roles linked in library: Native Mobile Developer

  • Web Standards, Protocols & Compliance Catalog dimension db id 436

    Library dimension (catalog)

    Roles linked in library: Shopify Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Mobile Protocols & Standards
mobile-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Web Standards, Protocols & Compliance
web-standards-protocols-compliance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
TLS Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: TLS id=306 · tls

Aliases — catalog

  • TLS (CANONICAL) primary

Context tags (catalog)

ALPN CA CRL HTTPS OCSP PKI SNI SSL TLS 1.2 TLS 1.3 X.509 certificate certificate chain cipher suite cipher suites data integrity encryption handshake mTLS mutual authentication secure communication secure sockets session resumption

Stored enrichment (catalog DB)

Category
Protocol
Sub-category
Transport Security Protocol
Vendor
IETF
License
other_open
Year introduced
1999
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: TLS is a standard requirement in most security, backend, and cloud job descriptions; it underpins HTTPS and is widely supported by major vendors and browsers, with no announced sunset or replacement.

Skill profile (library / DB)

Skill nature
PROTOCOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
10
Sub-category id
1374
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cryptography and PKI Catalog dimension db id 67

    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
Cryptography and PKI
cryptography-and-pki
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Authentication Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Authentication id=1608 · authentication

Aliases — catalog

  • Authentication (CANONICAL)

Context tags (catalog)

JWT LDAP OAuth OpenID Connect PKI SAML access tokens authorization identity provider multi-factor authentication secure cookies session management single sign-on token validation user credentials

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Authentication
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: Authentication is a core requirement in most software JDs and security roles; it appears broadly across job postings and vendor docs for OAuth/OIDC, SSO, and MFA rather than as a niche specialty.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1211
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Authentication and Session Handling Catalog dimension db id 86

    Library dimension (catalog)

    Roles linked in library: Android Developer, Frontend Developer, Fullstack Developer, Hybrid Mobile Developer, Ionic Developer, Native Mobile Developer, Web Developer, iOS Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Authentication and Session Handling
authentication-and-session-handling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Authorization 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
Security Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
S3 Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: S3 id=1212 · s3

Aliases — catalog

  • S3 (CANONICAL)

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

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

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Systems Programming Catalog dimension db id 166

    Library dimension (catalog)

API 3 link attempts (this skill)

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

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Parquet Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Parquet id=173 · parquet

Aliases — catalog

  • Parquet (CANONICAL) primary

Context tags (catalog)

Apache Spark Athena Avro ETL Gzip Hive ORC Presto PyArrow Snappy Trino columnar storage data lake partitioning schema evolution

Stored enrichment (catalog DB)

Category
Format
Sub-category
Columnar File Format
Vendor
Apache Software Foundation
License
apache_2
Year introduced
2013
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Widely used in data engineering and analytics; frequently appears in JDs for Spark/Databricks/Big Data roles and is a standard storage format in cloud data lakes.

Skill profile (library / DB)

Skill nature
STANDARD
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
4
Sub-category id
87
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Data Serialization Standards & Protocols Catalog dimension db id 37

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Data Serialization Standards & Protocols
data-serialization-standards-protocols
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Iceberg 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
Data Engineering Tools
Sub-category
general
Skill nature
TOOL
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
Programming Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Distributed Computing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Distributed Systems id=1369 · distributed-systems

Aliases — catalog

  • Distributed Systems (CANONICAL)

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

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

  • Performance and Scalability Tuning Catalog dimension db id 11

    Library dimension (catalog)

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

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Performance and Scalability Tuning
performance-and-scalability-tuning
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
React Frontend Development
d_init_01
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
AWS Secondary 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

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)
GCP Secondary 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)

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
Golang in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Golang in_db
Go Language and Toolchain
go-language-and-toolchain
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Golang in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Golang in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Golang in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Java Language and JVM
java-language-and-jvm
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Kotlin and Java
kotlin-and-java
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Native Mobile Languages
native-mobile-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
gRPC in_db
API Design and Contracts
api-design-and-contracts
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
gRPC in_db
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
gRPC in_db
API Standards and Protocols
api-standards-and-protocols
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
gRPC in_db
Mobile Protocols & Standards
mobile-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Protocol Buffers in_db
Data Serialization Standards & Protocols
data-serialization-standards-protocols
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Avro in_db
Data Serialization Standards & Protocols
data-serialization-standards-protocols
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
HTTP/2 in_db
Mobile Protocols & Standards
mobile-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
HTTP/2 in_db
Web Standards, Protocols & Compliance
web-standards-protocols-compliance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
TLS in_db
Cryptography and PKI
cryptography-and-pki
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Authentication in_db
Authentication and Session Handling
authentication-and-session-handling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
S3 in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
S3 in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
S3 in_db
Systems Programming
d_init_02
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Parquet in_db
Data Serialization Standards & Protocols
data-serialization-standards-protocols
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Distributed Computing new
Cloud Platforms
cloud-platforms
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Distributed Computing new
Performance and Scalability Tuning
performance-and-scalability-tuning
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Distributed Computing new
React Frontend Development
d_init_01
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
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)
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)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed TCP/IP | type=Networking Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Authorization | type=Security Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed GCS | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Iceberg | type=Data Engineering Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Concurrency | type=Programming Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
dimension_skill_link_proposed Distributed Computing ↔ Cloud Platforms
dimension_skill_link_proposed Distributed Computing ↔ Performance and Scalability Tuning
dimension_skill_link_proposed Distributed Computing ↔ React Frontend Development
nano JD Parser — gpt-4.1-nano click to toggle
RoleData Engineer
CompanyUplers
Experience13.00 + years
CTC{'max': None, 'min': None, 'raw': 'Confidential (based on experience)', 'period': None, 'currency': None}
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": 45
  },
  "certifications": [],
  "company_name": "Uplers",
  "ctc": {
    "currency": null,
    "max": null,
    "min": null,
    "period": null,
    "raw": "Confidential (based on experience)"
  },
  "domain": {
    "primary": {
      "aliases": [
        "Tech Consulting",
        "Software Development"
      ],
      "domain": "IT Services \u0026 Consulting"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE - Computer Science (or equivalent)",
      "raw": "BSCS Or Equivalent Required",
      "requirement": "required"
    },
    {
      "level": "Master\u0027s",
      "qualification": "MTECH/ME - Computer Science (or equivalent)",
      "raw": "MSCS Or Equivalent Strongly Preferred",
      "requirement": "preferred"
    }
  ],
  "experience": {
    "max": null,
    "min": 13,
    "raw": "13.00 + years"
  },
  "job_locations": [
    {
      "aliases": [],
      "city": null,
      "country": "India",
      "state": null,
      "work_mode": "remote"
    }
  ],
  "role": "Data Engineer",
  "role_aliases": [
    "Data Platform Engineer",
    "Big Data Engineer",
    "Cloud Data Engineer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 0,
      "heading": "About The Role",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Please note, this team is",
        "last_5_words": "cloud and open source data technologies."
      },
      "text": "Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.\nThe Data Platform team is uniquely positioned at the intersection of security, big data and cloud computing. We are responsible for providing ultra low-latency access to global security insights and intelligence data to our customers, and enabling them to act in near real-time. We\u2019re looking for a seasoned engineer to help us build next-generation data pipelines that provide near real-time ingestion of security insights and intelligence data using cloud and open source data technologies.",
      "word_count": 83
    },
    {
      "bullet_count": 4,
      "heading": "What you will be doing",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Building next generation data pipeline",
        "last_5_words": "influencing their architecture."
      },
      "text": "Building next generation data pipeline for near real-time ingestion of security insights and intelligence data\nPartnering with industry experts in security and big data, product and engineering teams to conceptualize, design and build innovative solutions for hard problems on behalf of our customers.\nEvaluating open source technologies to find the best fit for our needs and also contributing to some of them!\nHelping other teams architect their systems on top of the data platform and influencing their architecture.",
      "word_count": 56
    },
    {
      "bullet_count": 10,
      "heading": "Required Skills And Experience",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Expertise in architecture and design",
        "last_5_words": "in different time zones."
      },
      "text": "Expertise in architecture and design of highly scalable, efficient and fault-tolerant data pipelines for near real-time and real-time processing.\nStrong diagnostic and problem-solving skills with a demonstrated ability to invent and simplify complex problems into elegant solutions.\nExtensive experience designing high-throughput, low-latency data services using gRPC streaming and performance optimizations.\nSolid grasp of serialization formats (e.g., Protocol Buffers, Avro), network protocols (e.g., TCP/IP, HTTP/2), and security considerations (e.g., TLS, authentication, authorization) in distributed environments.\nDeep understanding of distributed object storage systems like S3, GCS etc, including their architectures, consistency models, and scaling properties.\nDeep understanding of data formats like Parquet, Iceberg etc, optimized partitioning, sorting, compression, and read performance.\nExpert level proficiency in Golang, Java, or similar languages with strong understanding of concurrency, distributed computing and system-level optimizations.\nCloud-native data infrastructure experience with AWS, GCP etc is a huge plus.\nProven ability to influence technical direction and communicate with clarity.\nWillingness to work with a globally distributed team in different time zones.",
      "word_count": 204
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Golang"
    },
    {
      "is_primary": true,
      "skill_name": "Java"
    },
    {
      "is_primary": true,
      "skill_name": "gRPC"
    },
    {
      "is_primary": true,
      "skill_name": "Protocol Buffers"
    },
    {
      "is_primary": true,
      "skill_name": "Avro"
    },
    {
      "is_primary": true,
      "skill_name": "TCP/IP"
    },
    {
      "is_primary": true,
      "skill_name": "HTTP/2"
    },
    {
      "is_primary": true,
      "skill_name": "TLS"
    },
    {
      "is_primary": true,
      "skill_name": "Authentication"
    },
    {
      "is_primary": true,
      "skill_name": "Authorization"
    },
    {
      "is_primary": true,
      "skill_name": "S3"
    },
    {
      "is_primary": true,
      "skill_name": "GCS"
    },
    {
      "is_primary": true,
      "skill_name": "Parquet"
    },
    {
      "is_primary": true,
      "skill_name": "Iceberg"
    },
    {
      "is_primary": true,
      "skill_name": "Concurrency"
    },
    {
      "is_primary": true,
      "skill_name": "Distributed Computing"
    },
    {
      "is_primary": false,
      "skill_name": "AWS"
    },
    {
      "is_primary": false,
      "skill_name": "GCP"
    }
  ],
  "jd_role": {
    "display_name": "Data Engineer",
    "rationale": null,
    "role_aliases": [
      "Data Platform Engineer",
      "Big Data Engineer",
      "Cloud Data 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": 45
    },
    "certifications": [],
    "company_name": "Uplers",
    "ctc": {
      "currency": null,
      "max": null,
      "min": null,
      "period": null,
      "raw": "Confidential (based on experience)"
    },
    "domain": {
      "primary": {
        "aliases": [
          "Tech Consulting",
          "Software Development"
        ],
        "domain": "IT Services \u0026 Consulting"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE - Computer Science (or equivalent)",
        "raw": "BSCS Or Equivalent Required",
        "requirement": "required"
      },
      {
        "level": "Master\u0027s",
        "qualification": "MTECH/ME - Computer Science (or equivalent)",
        "raw": "MSCS Or Equivalent Strongly Preferred",
        "requirement": "preferred"
      }
    ],
    "experience": {
      "max": null,
      "min": 13,
      "raw": "13.00 + years"
    },
    "job_locations": [
      {
        "aliases": [],
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}
API 2 — extract-details
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              "slug": "kotlin-server-backend-developer",
              "source": "db"
            },
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "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": "Distributed Computing",
          "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"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Distributed Computing",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Distributed Computing",
      "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": "AWS",
          "alias_type": "CANONICAL",
          "id": 406,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "AWS",
        "id": 187,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "aws",
        "sub_category_id": 46,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Platforms",
            "id": 20,
            "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
            "slug": "cloud-platforms",
            "source": "db"
          },
          "input_skill": "AWS",
          "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": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            },
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            },
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "Go Backend Developer",
              "id": 81,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "go-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Java Backend Developer",
              "id": 79,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "java-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Kotlin Backend Developer",
              "id": 84,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "kotlin-server-backend-developer",
              "source": "db"
            },
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Platforms for AI Deployment",
            "id": 211,
            "rationale": "Major cloud services that provide infrastructure and managed services for AI workloads.",
            "slug": "cloud-platforms-for-ai-deployment",
            "source": "db"
          },
          "input_skill": "AWS",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AI Engineer",
              "id": 13,
              "rationale": null,
              "role_archetype": null,
              "slug": "ai-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Provider Platforms",
            "id": 131,
            "rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
            "slug": "cloud-provider-platforms",
            "source": "db"
          },
          "input_skill": "AWS",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            },
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Security Posture Tools",
            "id": 64,
            "rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
            "slug": "cloud-security-posture-tools",
            "source": "db"
          },
          "input_skill": "AWS",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            },
            {
              "display_name": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "AWS",
      "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": "GCP",
          "alias_type": "CANONICAL",
          "id": 405,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "GCP",
        "id": 186,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "gcp",
        "sub_category_id": 46,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Platforms",
            "id": 20,
            "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
            "slug": "cloud-platforms",
            "source": "db"
          },
          "input_skill": "GCP",
          "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": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            },
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            },
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "Go Backend Developer",
              "id": 81,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "go-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Java Backend Developer",
              "id": 79,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "java-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Kotlin Backend Developer",
              "id": 84,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "kotlin-server-backend-developer",
              "source": "db"
            },
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Platforms for AI Deployment",
            "id": 211,
            "rationale": "Major cloud services that provide infrastructure and managed services for AI workloads.",
            "slug": "cloud-platforms-for-ai-deployment",
            "source": "db"
          },
          "input_skill": "GCP",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AI Engineer",
              "id": 13,
              "rationale": null,
              "role_archetype": null,
              "slug": "ai-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Provider Platforms",
            "id": 131,
            "rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
            "slug": "cloud-provider-platforms",
            "source": "db"
          },
          "input_skill": "GCP",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            },
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Security Posture Tools",
            "id": 64,
            "rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
            "slug": "cloud-security-posture-tools",
            "source": "db"
          },
          "input_skill": "GCP",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            },
            {
              "display_name": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "GCP",
      "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": [
    "TCP/IP",
    "Authorization",
    "GCS",
    "Iceberg",
    "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 near real-time ingestion, high-throughput low-latency data services, gRPC streaming, and distributed streaming/data pipeline architecture, which best matches a streaming/real-time data engineering role.",
    "role_archetype": null,
    "slug": "streaming-real-time-data-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Golang",
      "tag": "in_db"
    },
    {
      "skill": "Java",
      "tag": "in_db"
    },
    {
      "skill": "gRPC",
      "tag": "in_db"
    },
    {
      "skill": "Protocol Buffers",
      "tag": "in_db"
    },
    {
      "skill": "Avro",
      "tag": "in_db"
    },
    {
      "skill": "TCP/IP",
      "tag": "new"
    },
    {
      "skill": "HTTP/2",
      "tag": "in_db"
    },
    {
      "skill": "TLS",
      "tag": "in_db"
    },
    {
      "skill": "Authentication",
      "tag": "in_db"
    },
    {
      "skill": "Authorization",
      "tag": "new"
    },
    {
      "skill": "S3",
      "tag": "in_db"
    },
    {
      "skill": "GCS",
      "tag": "new"
    },
    {
      "skill": "Parquet",
      "tag": "in_db"
    },
    {
      "skill": "Iceberg",
      "tag": "new"
    },
    {
      "skill": "Concurrency",
      "tag": "new"
    },
    {
      "skill": "Distributed Computing",
      "tag": "in_db"
    },
    {
      "skill": "AWS",
      "tag": "in_db"
    },
    {
      "skill": "GCP",
      "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": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Scripting \u0026 DSL Languages",
          "id": 248,
          "rationale": "Proficiency in programming and domain-specific languages used to automate and script cloud security controls.",
          "slug": "cloud-security-scripting-dsl-languages",
          "source": "db"
        },
        "dimension_id": 248,
        "input_skill": "Golang",
        "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 Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 3,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Go Language and Toolchain",
          "id": 367,
          "rationale": "Core Go implementation skills used to build backend service logic, handlers, and internal libraries. This is the primary coding surface for the role and includes language features, module management, and compiler/runtime behavior relevant to service code.",
          "slug": "go-language-and-toolchain",
          "source": "db"
        },
        "dimension_id": 367,
        "input_skill": "Golang",
        "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"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 3,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 149,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages",
          "id": 1,
          "rationale": "Primary implementation languages used to build client and server feature code. Full stack engineers need enough fluency to move across layers and implement product behavior end to end.",
          "slug": "programming-languages",
          "source": "db"
        },
        "dimension_id": 1,
        "input_skill": "Golang",
        "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": "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": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          },
          {
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          "slug": "programming-languages-and-scripting",
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          {
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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          "rationale": "Primary implementation languages used to build platform-specific app features, UI logic, and device integrations. This is the core coding surface for native mobile work on one platform.",
          "slug": "native-mobile-languages",
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        "input_skill": "Java",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Pega Developer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "pega-developer",
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          "rationale": "Primary implementation languages used to build client and server feature code. Full stack engineers need enough fluency to move across layers and implement product behavior end to end.",
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        "roles_from_db": [
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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            "display_name": "Fullstack Developer",
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            "slug": "full-stack-engineer",
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        "dimension_id": 289,
        "input_skill": "gRPC",
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        "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",
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            "rationale": null,
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            "display_name": "Go Backend Developer",
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            "display_name": "Kotlin Backend Developer",
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            "display_name": "Node.js Backend Developer",
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            "rationale": null,
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          "rationale": "Applies and implements key communication protocols, data formats, and security standards for Flutter client-server integration.",
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          "source": "db"
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        "dimension_id": 318,
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        "role_dimension_saved": false,
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            "display_name": "Flutter Developer",
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          "source": "db"
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
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            "slug": "data-engineer",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
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          "slug": "mobile-protocols-standards",
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        "dimension_id": 277,
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        "role_dimension_saved": false,
        "roles_from_db": [
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            "display_name": "Native Mobile Developer",
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            "slug": "native-mobile-developer",
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        ],
        "skill_dimension_saved": true,
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          "slug": "web-standards-protocols-compliance",
          "source": "db"
        },
        "dimension_id": 436,
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        "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": "Shopify Dev",
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            "rationale": null,
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        "skill_dimension_saved": true,
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          "slug": "cryptography-and-pki",
          "source": "db"
        },
        "dimension_id": 67,
        "input_skill": "TLS",
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        "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": [
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            "display_name": "Cloud Security Engineer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
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          {
            "display_name": "Cyber Security Engineer",
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            "slug": "cybersecurity-engineer",
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        "skill_dimension_saved": true,
        "skill_id": 306,
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      {
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        "dimension_id": 86,
        "input_skill": "Authentication",
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        "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": [
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            "display_name": "Android Developer",
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            "rationale": null,
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            "slug": "android-engineer",
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            "display_name": "Frontend Developer",
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            "slug": "frontend-engineer",
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            "display_name": "Fullstack Developer",
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            "slug": "full-stack-engineer",
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            "display_name": "Hybrid Mobile Developer",
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            "rationale": null,
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            "slug": "hybrid-mobile-developer",
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          {
            "display_name": "Ionic Developer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "ionic-developer",
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          },
          {
            "display_name": "Native Mobile Developer",
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}

LLM Calls

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

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