Pipeline run
53dfe42d-ef65-41cd-96e5-5107447d66a5
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
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…
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Streaming / Real-Time Data Engineer
domain · Data Engineering & Analytics CASE DOMAINslug: 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
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
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.
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)
Stored enrichment (catalog DB)
- Category
- Language
- Sub-category
- Programming Language
- Vendor
- 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) |
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)
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) |
Aliases — catalog
- gRPC (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Protocol
- Sub-category
- Rpc Protocol
- Vendor
- 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) |
Aliases — catalog
- Protocol Buffers (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Format
- Sub-category
- Serialization Format
- Vendor
- 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) |
Aliases — catalog
- Avro (CANONICAL) primary
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Networking Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Aliases — catalog
- HTTP/2 (CANONICAL) primary
Context tags (catalog)
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) |
Aliases — catalog
- TLS (CANONICAL) primary
Context tags (catalog)
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) |
Aliases — catalog
- Authentication (CANONICAL)
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Security Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Aliases — catalog
- S3 (CANONICAL)
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Cloud Platforms
- Sub-category
- general
- Skill nature
- PLATFORM
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Parquet (CANONICAL) primary
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Programming Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Aliases — catalog
- Distributed Systems (CANONICAL)
Context tags (catalog)
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
|
Aliases — catalog
- AWS (CANONICAL) primary
Context tags (catalog)
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) |
Aliases — catalog
- GCP (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Platform
- Sub-category
- Cloud Platform
- Vendor
- 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
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": [
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"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": {
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},
"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": [
{
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"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": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "53dfe42d-ef65-41cd-96e5-5107447d66a5",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "Data Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 1.0,
"slug": "data-engineer",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "Data Engineer",
"kra_matches": [
{
"kra_text": "Builds data ingestion pipelines to collect data from transactional databases, third-party APIs, event streams, and file sources into centralized data platforms.",
"sentence": "Building next generation data pipeline for near real-time ingestion of security insights and intelligence data",
"similarity": 0.6478
},
{
"kra_text": "Builds data ingestion pipelines to collect data from transactional databases, third-party APIs, event streams, and file sources into centralized data platforms.",
"sentence": "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.",
"similarity": 0.5602
},
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "Helping other teams architect their systems on top of the data platform and influencing their architecture.",
"similarity": 0.5481
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.5854,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "Cloud Architect",
"kra_matches": [
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "Helping other teams architect their systems on top of the data platform and influencing their architecture.",
"similarity": 0.5348
},
{
"kra_text": "Evaluates cloud-native managed services, serverless compute, PaaS databases, and CDN solutions for workload fit and total cost of ownership.",
"sentence": "Cloud-native data infrastructure experience with AWS, GCP etc is a huge plus.",
"similarity": 0.5028
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "Proven ability to influence technical direction and communicate with clarity.",
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}
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],
"skill_match_roles": [
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"matched_skills": [
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},
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"queued": false,
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},
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},
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}
API 2 — extract-details
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},
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},
{
"alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
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},
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}
],
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},
{
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"input_skill": "Iceberg",
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"new_skill_meta": {
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},
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},
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},
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},
{
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}
]
},
{
"dimension": {
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},
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{
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},
{
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},
{
"display_name": "PHP Backend Developer",
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"rationale": null,
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"slug": "php-backend-developer",
"source": "db"
},
{
"display_name": "Python Backend Developer",
"id": 80,
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"slug": "python-backend-developer",
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}
]
},
{
"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,
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"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,
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"source": "db"
},
"input_skill": "AWS",
"llm_role": null,
"roles_from_db": [
{
"display_name": ".NET Backend Developer",
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"role_archetype": "Engineering",
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},
{
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"role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
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"source": "db"
},
{
"display_name": "Cyber Security Engineer",
"id": 5,
"rationale": null,
"role_archetype": null,
"slug": "cybersecurity-engineer",
"source": "db"
},
{
"display_name": "Data Engineer",
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"rationale": null,
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"slug": "data-engineer",
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},
{
"display_name": "DevOps Engineer",
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"slug": "devops-engineer",
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},
{
"display_name": "Fullstack Developer",
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},
{
"display_name": "Go Backend Developer",
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},
{
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},
{
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},
{
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"slug": "ml-engineer",
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},
{
"display_name": "MLOps Engineer",
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},
{
"display_name": "Node.js Backend Developer",
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},
{
"display_name": "Python Backend Developer",
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},
{
"display_name": "Scala Backend Developer",
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}
]
},
{
"dimension": {
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"display_name": "Cloud Platforms for AI Deployment",
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"slug": "cloud-platforms-for-ai-deployment",
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},
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{
"display_name": "AI Engineer",
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}
]
},
{
"dimension": {
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"display_name": "Cloud Provider Platforms",
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"rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
"slug": "cloud-provider-platforms",
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},
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{
"display_name": "Cloud Architect",
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"slug": "cloud-architect",
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},
{
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}
]
},
{
"dimension": {
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"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",
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{
"display_name": "Cloud Security Engineer",
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},
{
"display_name": "Cyber Security Engineer",
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"rationale": null,
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"slug": "cybersecurity-engineer",
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}
]
}
],
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"new_alias_persisted": false,
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"new_skill_meta": null,
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"was_in_llm_skills": true
},
{
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{
"alias_text": "GCP",
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"match_strategy": "CASE_INSENSITIVE"
}
],
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
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{
"dimension": {
"difficulty_hint": "well_known",
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},
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},
{
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},
{
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},
{
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},
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},
{
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},
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},
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},
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},
{
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},
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},
{
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},
{
"display_name": "Scala Backend Developer",
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"rationale": null,
"role_archetype": "Engineering",
"slug": "scala-backend-developer",
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}
]
},
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"rationale": "Major cloud services that provide infrastructure and managed services for AI workloads.",
"slug": "cloud-platforms-for-ai-deployment",
"source": "db"
},
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{
"display_name": "AI Engineer",
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"role_archetype": null,
"slug": "ai-engineer",
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}
]
},
{
"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.",
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"source": "db"
},
"input_skill": "GCP",
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"roles_from_db": [
{
"display_name": "Cloud Architect",
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"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"
},
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{
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{
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{
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{
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{
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{
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{
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{
"display_name": "PHP Backend Developer",
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{
"display_name": "Ruby Backend Developer",
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{
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{
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{
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"skill_id": 174,
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{
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{
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"roles_from_db": [
{
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{
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{
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"roles_from_db": [
{
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{
"display_name": "Frontend Developer",
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{
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{
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],
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{
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],
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{
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{
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{
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],
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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.