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Pipeline run

20801ab9-c293-4a53-a363-7a0e98ac081b

Pipeline LLM cost (USD)
API 1: $0.0119 API 2: $0.0002 API 3: $0.0000 Total: $0.0121

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
role baseline loaded sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work · API and service implementation
Build backend microservices and data platforms in Go/Java/Scala/Python to automate privacy workflows like data inventory, deletion, export, and retention across large-scale user data systems, while collaborating with product, engineering, legal, and business teams.
"Build microservices, backend platforms and collaborate with user experiences for Uber customers & partners"
Tech stack maturity
Modern Cloud Native
The combination of API development, Go/Java/Python/Scala, and microservices strongly indicates a cloud-native backend stack rather than legacy or bleeding-edge AI-focused tooling.
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 (9)
Go Java Scala Python Microservices Big Data API Data Anonymization Differential Privacy
Skill cluster (4 dimension groups, role-scoped)
Programming Languages
Go Java Python
Microservices and Distributed Systems
Microservices
Programming Languages for Data Work
Scala
Cross-cutting / unaligned
Big Data API Data Anonymization Differential Privacy
Show KRA description ↓
• Design, develop, test, and deploy software solutions to address real world privacy concerns through close collaboration with various engineering and product teams, as well as many business and legal teams across Uber • Build microservices, backend platforms and collaborate with user experiences for Uber customers & partners, internal team members to enable automation of various privacy functions • Work closely in a big data environment and with large scale systems to handle user data lifecycle • Drive excellence by demonstrating and adopting best practices in engineering standards, and consumer privacy • Process extensive amount of data, build software solutions to enable data inventory, data deletion, data export and data preservation • Experience with Go, Java, Scala, Python, or other backend technologies • Strong architectural skills and proven understanding of large scale data platforms • Strong written and verbal communication skills • An engineering-focused undergraduate degree or equivalent proven experience • 3-5 years of software engineering experience • Experience building highly scalable, robust, and fault-tolerant products and platforms • Demonstrated experience collaborating with other engineers and non-tech team members, both to meet short term goals and to create long-term partnerships • Security or privacy expertise. This is a nice-to-have requirement but you may have knowledge and experience in approaches to securing user data and keeping it private. You have knowledge of integrating privacy in the systems and product design process. You might have experience with privacy enhancing technologies, e.g., data anonymization or differential privacy. • Versatility. In addition to having an intimate knowledge of the full stack, you see how it all fits together and can navigate both typical and complex pitfalls. • Ability to learn on the go. You thrive with new technologies and don't believe in one-size-fits-all solutions. You can adapt to meet the needs of our massive scale, growth, and evolving business environment. • Ownership. You feel ownership for everything you deliver. You'd never call code "released" until you're satisfied that it's well implemented and tested. You pride yourself on efficient monitoring, detailed documentation, and accurate test coverage. • Attention to details. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details results in a delightful user experience. • A great teammate. You believe that you can achieve more on a team; that the whole is greater than the sum of its parts. You rely on others candid feedback for continuous improvement. You can take the lead and have a phenomenal sense of what doing 'the right thing' is. You seek ways to mentor others and share your knowledge with the team.

Signals

Skill fullstack-developer
0.57
Alias backend-engineer
1.00
KRA data-engineer
0.54

Post-classification

Centroidupdated · n=1218
Alias collision log
New-role queue
New skills captured3
New KRA capturedyes

Captured for admin review

Big Data primary Backend Developer pending
Data Anonymization Backend Developer pending
Differential Privacy Backend Developer pending
R&R fragment (sim 0.00) Backend Developer pending

• Design, develop, test, and deploy software solutions to address real world privacy concerns through close collaboration with various engineering and product teams, as well as many business and legal…

Status: completed Created: 2026-05-27T15:59:24.206216Z Updated: 2026-06-12T15:39:35.614616Z API 3 duration: 59250 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

Backend Developer

domain · Software Engineering CASE DOMAIN

slug: backend-engineer · id: 1 · source: db

Domain=Software Engineering; The JD centers on backend microservices, large-scale data platforms, and scalable privacy-focused systems, which best matches a backend engineer role.

Matched skills

GoJavaScalaPythonmicroservicesbackend platformslarge scale systemsbig data environmentdata lifecycledata inventorydata deletiondata exportdata preservationprivacy enhancing technologiesdifferential privacy

Matched dimensions

Backend Microservices DevelopmentLarge-Scale Data Platform EngineeringPrivacy and Data Lifecycle AutomationScalable and Fault-Tolerant SystemsCross-Functional CollaborationSecurity and Privacy by Design

Matched KRAs

Design, develop, test, and deploy software solutionsBuild microservices and backend platformsenable automation of various privacy functionshandle user data lifecyclebuild software solutions to enable data inventorydata deletion, data export and data preservationbuild highly scalable, robust, and fault-tolerant productscollaborating with other engineers and non-tech team members

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
0
Skipped

Job description

About The Role

Privacy Engineering's mission is to make Uber the industry model for consumer privacy through differentiated products and services, standards in engineering, and transparent communications. We are focusing on building both privacy technology platforms and user-facing products that give our users choice when it comes to their data, build trust, improve their data privacy, and enable our business.

We are seeking a software engineer with technical depth, product intuition, and entrepreneurial spirit to join our Privacy Engineering team. You should feel comfortable in uncharted territory as we build innovative privacy technologies and grow user trust. We need your skills and passion to help make it happen.

• Roles and Responsibilities --—
• Design, develop, test, and deploy software solutions to address real world privacy concerns through close collaboration with various engineering and product teams, as well as many business and legal teams across Uber
• Build microservices, backend platforms and collaborate with user experiences for Uber customers & partners, internal team members to enable automation of various privacy functions
• Work closely in a big data environment and with large scale systems to handle user data lifecycle
• Drive excellence by demonstrating and adopting best practices in engineering standards, and consumer privacy
• Process extensive amount of data, build software solutions to enable data inventory, data deletion, data export and data preservation
• Basic Qualifications --—
• Experience with Go, Java, Scala, Python, or other backend technologies
• Strong architectural skills and proven understanding of large scale data platforms
• Strong written and verbal communication skills
• An engineering-focused undergraduate degree or equivalent proven experience
• 3-5 years of software engineering experience
• Experience building highly scalable, robust, and fault-tolerant products and platforms
• Demonstrated experience collaborating with other engineers and non-tech team members, both to meet short term goals and to create long-term partnerships
• What the Candidate Will Do --—
• Security or privacy expertise. This is a nice-to-have requirement but you may have knowledge and experience in approaches to securing user data and keeping it private. You have knowledge of integrating privacy in the systems and product design process. You might have experience with privacy enhancing technologies, e.g., data anonymization or differential privacy.
• Versatility. In addition to having an intimate knowledge of the full stack, you see how it all fits together and can navigate both typical and complex pitfalls.
• Ability to learn on the go. You thrive with new technologies and don't believe in one-size-fits-all solutions. You can adapt to meet the needs of our massive scale, growth, and evolving business environment.
• Ownership. You feel ownership for everything you deliver. You'd never call code "released" until you're satisfied that it's well implemented and tested. You pride yourself on efficient monitoring, detailed documentation, and accurate test coverage.
• Attention to details. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details results in a delightful user experience.
• A great teammate. You believe that you can achieve more on a team; that the whole is greater than the sum of its parts. You rely on others candid feedback for continuous improvement. You can take the lead and have a phenomenal sense of what doing 'the right thing' is. You seek ways to mentor others and share your knowledge with the team.


Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Skills from this JD

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

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

Aliases — catalog

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

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

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

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Go Language and Toolchain Catalog dimension db id 367

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

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

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

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

Aliases — catalog

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

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Java Language and JVM Catalog dimension db id 279

    Library dimension (catalog)

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

  • Kotlin and Java Catalog dimension db id 161

    Library dimension (catalog)

    Roles linked in library: Android Developer

  • Native Mobile Languages Catalog dimension db id 274

    Library dimension (catalog)

    Roles linked in library: Native Mobile Developer

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

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

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Java Language and JVM
java-language-and-jvm
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kotlin and Java
kotlin-and-java
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Native Mobile Languages
native-mobile-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Scala Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Scala id=102 · scala

Aliases — catalog

  • Scala (CANONICAL) primary

Context tags (catalog)

Akka Apache Kafka Cats Flink JVM Monads Play Framework SBT ScalaTest Shapeless Spark Spark SQL ZIO case class for-comprehension functional programming implicit pattern matching typeclass

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
EPFL
License
apache_2
Year introduced
2004
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Scala still appears in many backend/data engineering JDs, especially with Spark and Akka, and remains supported by major JVM ecosystems; it’s not a sunset technology.

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)

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data 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
Programming Languages for Data Work
programming-languages-for-data-work
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)
Python Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Python id=5 · python

Aliases — catalog

  • Python (CANONICAL) primary
  • Python 2 (VERSION)
  • Python 2.x (VERSION)
  • Python 3 (VERSION)
  • Python 3.10 (VERSION)
  • Python 3.11 (VERSION)
  • Python 3.12 (VERSION)
  • Python 3.x (VERSION)
  • py (VERSION)
  • py2 (VERSION)
  • py3 (VERSION)
  • python 3 (VERSION)
  • python 3.x (VERSION)
  • python2 (VERSION)
  • python3 (VERSION)
  • python3.x (VERSION)

Context tags (catalog)

API Django FastAPI Flask Jupyter NumPy PEP 8 Pandas REST SQLAlchemy asyncio pandas pip pytest type hints venv virtualenv

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
PSF
License
mit
Year introduced
1991
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
3

Maturity reasoning: Python appears in a very high volume of job descriptions across data, backend, automation, and ML roles, and remains a default hiring-pipeline language on major job boards and tech stacks.

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

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

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

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

  • Programming Languages for XR Catalog dimension db id 97

    Library dimension (catalog)

    Roles linked in library: AR/VR Engineer

  • Python Programming Catalog dimension db id 290

    Library dimension (catalog)

    Roles linked in library: Python Backend Developer

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)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Programming Languages & DSLs
programming-languages-dsls
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 Data Work
programming-languages-for-data-work
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)
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Microservices Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: microservices id=41 · microservices

Aliases — catalog

  • microservices (CANONICAL) primary

Context tags (catalog)

API Gateway API gateway CQRS DevOps Docker Kubernetes REST API RESTful services Saga pattern Spring Boot circuit breaker containerization decentralized distributed tracing domain-driven design event sourcing event-driven event-driven architecture gRPC load balancing message broker microservices patterns monitoring scalability service discovery service mesh

Stored enrichment (catalog DB)

Category
Architecture
Sub-category
Distributed System Architecture
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Microservices is a common architecture in job descriptions across backend/cloud roles, and major vendors like AWS, Google Cloud, and Kubernetes ecosystems provide first-class support and reference patterns.

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Microservices and Distributed Systems Catalog dimension db id 9

    Library dimension (catalog)

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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Microservices and Distributed Systems
microservices-and-distributed-systems
Existing dimension (library) · Role↔dimension saved
Big Data 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
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Data Anonymization Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Data Engineering Tools
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
API Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: API id=1568 · api

Aliases — catalog

  • API (CANONICAL)

Context tags (catalog)

API gateway GraphQL JSON OAuth REST SDK SOAP XML authentication endpoint microservices rate limiting throttling versioning webhooks

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Application Programming Interface
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: APIs are a core requirement in most software engineering JDs and underpin common integrations across cloud, mobile, and web stacks; major vendors like AWS, Stripe, and Google Cloud center products on API-first usage.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1174
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • API Integration and Data Fetching Catalog dimension db id 127

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, Fullstack Developer, Fullstack Developer, React Frontend Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
API Integration and Data Fetching
api-integration-and-data-fetching
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
Go in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go in_db
Go Language and Toolchain
go-language-and-toolchain
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Go in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Java Language and JVM
java-language-and-jvm
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Kotlin and Java
kotlin-and-java
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Native Mobile Languages
native-mobile-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Java in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Java in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Scala in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Scala in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Python in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Microservices in_db
Microservices and Distributed Systems
microservices-and-distributed-systems
Existing dimension (library) · Role↔dimension saved
API in_db
API Integration and Data Fetching
api-integration-and-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Big Data | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Data Anonymization | type=Data Engineering Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Differential Privacy | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleSoftware Engineer
CompanyUber
Experience3-5 years of software engineering experience
DomainIT Services & Consulting
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "Uber is proud to be an",
      "last_5_words": "by completing this form."
    },
    "text": "Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.",
    "word_count": 84
  },
  "certifications": [],
  "company_name": "Uber",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "Tech Consulting",
        "Software Development"
      ],
      "domain": "IT Services \u0026 Consulting"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "Bachelor\u0027s - Engineering",
      "raw": "An engineering-focused undergraduate degree or equivalent proven experience",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": 5,
    "min": 3,
    "raw": "3-5 years of software engineering experience"
  },
  "job_locations": [],
  "role": "Software Engineer",
  "role_aliases": [
    "Software Developer",
    "Backend Engineer",
    "SWE"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 5,
      "heading": "Roles and Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Design, develop, test, and",
        "last_5_words": "data inventory, data deletion, data"
      },
      "text": "\u2022 Design, develop, test, and deploy software solutions to address real world privacy concerns through close collaboration with various engineering and product teams, as well as many business and legal teams across Uber\n\u2022 Build microservices, backend platforms and collaborate with user experiences for Uber customers \u0026 partners, internal team members to enable automation of various privacy functions\n\u2022 Work closely in a big data environment and with large scale systems to handle user data lifecycle\n\u2022 Drive excellence by demonstrating and adopting best practices in engineering standards, and consumer privacy\n\u2022 Process extensive amount of data, build software solutions to enable data inventory, data deletion, data export and data preservation",
      "word_count": 104
    },
    {
      "bullet_count": 7,
      "heading": "Basic Qualifications",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Experience with Go, Java, Scala,",
        "last_5_words": "and create long-term partnerships"
      },
      "text": "\u2022 Experience with Go, Java, Scala, Python, or other backend technologies\n\u2022 Strong architectural skills and proven understanding of large scale data platforms\n\u2022 Strong written and verbal communication skills\n\u2022 An engineering-focused undergraduate degree or equivalent proven experience\n\u2022 3-5 years of software engineering experience\n\u2022 Experience building highly scalable, robust, and fault-tolerant products and platforms\n\u2022 Demonstrated experience collaborating with other engineers and non-tech team members, both to meet short term goals and to create long-term partnerships",
      "word_count": 92
    },
    {
      "bullet_count": 6,
      "heading": "What the Candidate Will Do",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Security or privacy expertise. This",
        "last_5_words": "mentor others and share your knowledge"
      },
      "text": "\u2022 Security or privacy expertise. This is a nice-to-have requirement but you may have knowledge and experience in approaches to securing user data and keeping it private. You have knowledge of integrating privacy in the systems and product design process. You might have experience with privacy enhancing technologies, e.g., data anonymization or differential privacy.\n\u2022 Versatility. In addition to having an intimate knowledge of the full stack, you see how it all fits together and can navigate both typical and complex pitfalls.\n\u2022 Ability to learn on the go. You thrive with new technologies and don\u0027t believe in one-size-fits-all solutions. You can adapt to meet the needs of our massive scale, growth, and evolving business environment.\n\u2022 Ownership. You feel ownership for everything you deliver. You\u0027d never call code \"released\" until you\u0027re satisfied that it\u0027s well implemented and tested. You pride yourself on efficient monitoring, detailed documentation, and accurate test coverage.\n\u2022 Attention to details. Whether you\u0027re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details results in a delightful user experience.\n\u2022 A great teammate. You believe that you can achieve more on a team; that the whole is greater than the sum of its parts. You rely on others candid feedback for continuous improvement. You can take the lead and have a phenomenal sense of what doing \u0027the right thing\u0027 is. You seek ways to mentor others and share your knowledge with the team.",
      "word_count": 236
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Go"
    },
    {
      "is_primary": true,
      "skill_name": "Java"
    },
    {
      "is_primary": true,
      "skill_name": "Scala"
    },
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": true,
      "skill_name": "Microservices"
    },
    {
      "is_primary": true,
      "skill_name": "Big Data"
    },
    {
      "is_primary": false,
      "skill_name": "Data Anonymization"
    },
    {
      "is_primary": false,
      "skill_name": "Differential Privacy"
    },
    {
      "is_primary": true,
      "skill_name": "API"
    }
  ],
  "jd_role": {
    "display_name": "Software Engineer",
    "rationale": null,
    "role_aliases": [
      "Software Developer",
      "Backend Engineer",
      "SWE"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "Uber is proud to be an",
        "last_5_words": "by completing this form."
      },
      "text": "Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.",
      "word_count": 84
    },
    "certifications": [],
    "company_name": "Uber",
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
          "Tech Consulting",
          "Software Development"
        ],
        "domain": "IT Services \u0026 Consulting"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "Bachelor\u0027s - Engineering",
        "raw": "An engineering-focused undergraduate degree or equivalent proven experience",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": 5,
      "min": 3,
      "raw": "3-5 years of software engineering experience"
    },
    "job_locations": [],
    "role": "Software Engineer",
    "role_aliases": [
      "Software Developer",
      "Backend Engineer",
      "SWE"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 5,
        "heading": "Roles and Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Design, develop, test, and",
          "last_5_words": "data inventory, data deletion, data"
        },
        "text": "\u2022 Design, develop, test, and deploy software solutions to address real world privacy concerns through close collaboration with various engineering and product teams, as well as many business and legal teams across Uber\n\u2022 Build microservices, backend platforms and collaborate with user experiences for Uber customers \u0026 partners, internal team members to enable automation of various privacy functions\n\u2022 Work closely in a big data environment and with large scale systems to handle user data lifecycle\n\u2022 Drive excellence by demonstrating and adopting best practices in engineering standards, and consumer privacy\n\u2022 Process extensive amount of data, build software solutions to enable data inventory, data deletion, data export and data preservation",
        "word_count": 104
      },
      {
        "bullet_count": 7,
        "heading": "Basic Qualifications",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Experience with Go, Java, Scala,",
          "last_5_words": "and create long-term partnerships"
        },
        "text": "\u2022 Experience with Go, Java, Scala, Python, or other backend technologies\n\u2022 Strong architectural skills and proven understanding of large scale data platforms\n\u2022 Strong written and verbal communication skills\n\u2022 An engineering-focused undergraduate degree or equivalent proven experience\n\u2022 3-5 years of software engineering experience\n\u2022 Experience building highly scalable, robust, and fault-tolerant products and platforms\n\u2022 Demonstrated experience collaborating with other engineers and non-tech team members, both to meet short term goals and to create long-term partnerships",
        "word_count": 92
      },
      {
        "bullet_count": 6,
        "heading": "What the Candidate Will Do",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Security or privacy expertise. This",
          "last_5_words": "mentor others and share your knowledge"
        },
        "text": "\u2022 Security or privacy expertise. This is a nice-to-have requirement but you may have knowledge and experience in approaches to securing user data and keeping it private. You have knowledge of integrating privacy in the systems and product design process. You might have experience with privacy enhancing technologies, e.g., data anonymization or differential privacy.\n\u2022 Versatility. In addition to having an intimate knowledge of the full stack, you see how it all fits together and can navigate both typical and complex pitfalls.\n\u2022 Ability to learn on the go. You thrive with new technologies and don\u0027t believe in one-size-fits-all solutions. You can adapt to meet the needs of our massive scale, growth, and evolving business environment.\n\u2022 Ownership. You feel ownership for everything you deliver. You\u0027d never call code \"released\" until you\u0027re satisfied that it\u0027s well implemented and tested. You pride yourself on efficient monitoring, detailed documentation, and accurate test coverage.\n\u2022 Attention to details. Whether you\u0027re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details results in a delightful user experience.\n\u2022 A great teammate. You believe that you can achieve more on a team; that the whole is greater than the sum of its parts. You rely on others candid feedback for continuous improvement. You can take the lead and have a phenomenal sense of what doing \u0027the right thing\u0027 is. You seek ways to mentor others and share your knowledge with the team.",
        "word_count": 236
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "20801ab9-c293-4a53-a363-7a0e98ac081b",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 1,
        "score": 1.0,
        "slug": "backend-engineer",
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      }
    ],
    "kra_match_roles": [
      {
        "display_name": "Data Engineer",
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          {
            "kra_text": "Designs dimensional models, star schemas, data vault structures, and curated data mart tables to support BI tools and self-service analytics consumption.",
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            "similarity": 0.5475
          },
          {
            "kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
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            "similarity": 0.5345
          },
          {
            "kra_text": "Implements data transformation, cleansing, deduplication, and enrichment logic to convert raw source data into analytics-ready curated datasets.",
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            "similarity": 0.5276
          }
        ],
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      },
      {
        "display_name": "Flutter Developer",
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          {
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            "similarity": 0.5573
          },
          {
            "kra_text": "collaborate with design, product, and backend teams",
            "sentence": "Design, develop, test, and deploy software solutions to address real world privacy concerns through close collaboration with various engineering and product teams, as well as many business and legal teams across Uber",
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          },
          {
            "kra_text": "collaborate with design, product, and backend teams",
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            "similarity": 0.5145
          }
        ],
        "matched_count": null,
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        "role_id": 74,
        "score": 0.5351,
        "slug": "flutter-developer",
        "total_count": null
      },
      {
        "display_name": "Java Backend Developer",
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          },
          {
            "kra_text": "persistence and data modeling",
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            "kra_text": "persistence and data modeling",
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        ],
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        "role_id": 79,
        "score": 0.4805,
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      },
      {
        "display_name": "Python Backend Developer",
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            "kra_text": "Maintain data access and persistence",
            "sentence": "Work closely in a big data environment and with large scale systems to handle user data lifecycle",
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          },
          {
            "kra_text": "Write backend-focused automated checks",
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          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 80,
        "score": 0.4786,
        "slug": "python-backend-developer",
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      },
      {
        "display_name": "Cloud Architect",
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          {
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            "similarity": 0.5137
          },
          {
            "kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
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            "similarity": 0.5
          },
          {
            "kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
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            "similarity": 0.4209
          }
        ],
        "matched_count": null,
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        "role_id": 9,
        "score": 0.4782,
        "slug": "cloud-architect",
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      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Fullstack Developer",
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        "matched_count": 4,
        "matched_skills": [
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        ],
        "role_id": 435,
        "score": 0.5714,
        "slug": "fullstack-developer",
        "total_count": 7
      },
      {
        "display_name": "Fullstack Developer",
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        "role_id": 15,
        "score": 0.5714,
        "slug": "full-stack-engineer",
        "total_count": 7
      },
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": 4,
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        ],
        "role_id": 1,
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        "slug": "backend-engineer",
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      {
        "display_name": "ML Engineer",
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        "matched_count": 3,
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          "Go",
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          "Scala"
        ],
        "role_id": 3,
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        "slug": "ml-engineer",
        "total_count": 7
      },
      {
        "display_name": "Data Engineer",
        "kra_matches": null,
        "matched_count": 3,
        "matched_skills": [
          "Java",
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          "Scala"
        ],
        "role_id": 2,
        "score": 0.4286,
        "slug": "data-engineer",
        "total_count": 7
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "Backend Developer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 1,
      "score": 0.97,
      "slug": "backend-engineer",
      "total_count": null
    },
    "confidence": 0.97,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Backend Microservices Development",
      "Large-Scale Data Platform Engineering",
      "Privacy and Data Lifecycle Automation",
      "Scalable and Fault-Tolerant Systems",
      "Cross-Functional Collaboration",
      "Security and Privacy by Design"
    ],
    "matched_kras": [
      "Design, develop, test, and deploy software solutions",
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      "enable automation of various privacy functions",
      "handle user data lifecycle",
      "build software solutions to enable data inventory",
      "data deletion, data export and data preservation",
      "build highly scalable, robust, and fault-tolerant products",
      "collaborating with other engineers and non-tech team members"
    ],
    "matched_skills": [
      "Go",
      "Java",
      "Scala",
      "Python",
      "microservices",
      "backend platforms",
      "large scale systems",
      "big data environment",
      "data lifecycle",
      "data inventory",
      "data deletion",
      "data export",
      "data preservation",
      "privacy enhancing technologies",
      "differential privacy"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Software Engineering; The JD centers on backend microservices, large-scale data platforms, and scalable privacy-focused systems, which best matches a backend engineer role.",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 1218,
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    "collision_log_id": null,
    "new_kra_attached": {
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      "queue_id": 1280,
      "r_and_r_preview": "\u2022 Design, develop, test, and deploy software solutions to address real world privacy concerns through close collaboration with various engineering and product teams, as well as many business and legal",
      "role_display_name": "Backend Developer",
      "role_slug": "backend-engineer",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 17599,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "Big Data",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 17600,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "Data Anonymization",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 17601,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "Differential Privacy",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
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      "alias_persisted": false,
      "existing_alias_id": 25,
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      "input_term": "Go",
      "matched_canonical": {
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        "display_name": "Go",
        "id": 3,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "go",
        "sub_category_id": 96,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 1,
      "existing_alias_text": "Java",
      "input_term": "Java",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "Java",
        "id": 1,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "java",
        "sub_category_id": 96,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 272,
      "existing_alias_text": "Scala",
      "input_term": "Scala",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "Scala",
        "id": 102,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "scala",
        "sub_category_id": 96,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 67,
      "existing_alias_text": "Python",
      "input_term": "Python",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "Python",
        "id": 5,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "python",
        "sub_category_id": 96,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 178,
      "existing_alias_text": "microservices",
      "input_term": "Microservices",
      "matched_canonical": {
        "category_id": 1,
        "display_name": "microservices",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PATTERN",
        "slug": "microservices",
        "sub_category_id": 1,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 2514,
      "existing_alias_text": "API",
      "input_term": "API",
      "matched_canonical": {
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        "display_name": "API",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "api",
        "sub_category_id": 1174,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
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      "slug": "full-stack-engineer",
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    },
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      "slug": "cybersecurity-engineer",
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      "slug": "ml-engineer",
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      "slug": "ml-ops-engineer",
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      "role_archetype": "Engineering",
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      "rationale": null,
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      "slug": "android-engineer",
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      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "native-mobile-developer",
      "source": "db"
    },
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      "slug": "pega-developer",
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      "slug": "engineering-manager",
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      "slug": "data-engineer",
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    },
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      "display_name": "AR/VR Engineer",
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      "slug": "ar-vr-engineer",
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      "role_archetype": "Engineering",
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      "rationale": null,
      "role_archetype": "Engineering",
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    },
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      "rationale": null,
      "role_archetype": "Engineering",
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    },
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      "rationale": null,
      "role_archetype": null,
      "slug": "frontend-engineer",
      "source": "db"
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      "rationale": null,
      "role_archetype": "Engineering",
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      "source": "db"
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      "id": 92,
      "rationale": null,
      "role_archetype": "Engineering",
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      "source": "db"
    },
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      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "vue-frontend-developer",
      "source": "db"
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      "rationale": null,
      "role_archetype": null,
      "slug": "web-developer",
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    "display_name": "Backend Developer",
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    "rationale": "Domain=Software Engineering; The JD centers on backend microservices, large-scale data platforms, and scalable privacy-focused systems, which best matches a backend engineer role.",
    "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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    },
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        "source": "db"
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        "source": "db"
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        "source": "db"
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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.",
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          "display_name": "Native Mobile Developer",
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          "rationale": null,
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      ]
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        "rationale": "Programming languages and domain-specific languages used in Pega development.",
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        "source": "db"
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    },
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    },
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        "rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
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    },
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        "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
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    {
      "dimension": {
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        "display_name": "Cloud Security Scripting \u0026 DSL Languages",
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    {
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      ]
    },
    {
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        },
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          "match_strategy": "CASE_INSENSITIVE"
        },
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          "match_strategy": "CASE_INSENSITIVE"
        },
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              "rationale": null,
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              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages \u0026 DSLs",
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            "rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
            "slug": "programming-languages-dsls",
            "source": "db"
          },
          "input_skill": "Python",
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          "roles_from_db": [
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              "display_name": "Engineering Manager",
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              "rationale": null,
              "role_archetype": null,
              "slug": "engineering-manager",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages and Scripting",
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            "rationale": "Languages used to write security automation, analysis scripts, detection logic, and remediation helpers. This is the primary implementation surface for a cybersecurity engineer across tooling and response workflows.",
            "slug": "programming-languages-and-scripting",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cyber Security Engineer",
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              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for Data Work",
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            "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
            "slug": "programming-languages-for-data-work",
            "source": "db"
          },
          "input_skill": "Python",
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          "roles_from_db": [
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            }
          ]
        },
        {
          "dimension": {
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          },
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          ]
        },
        {
          "dimension": {
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            "display_name": "Programming Languages for XR",
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            "rationale": "Primary implementation languages used to build immersive client features, interaction logic, and device-specific runtime behavior. This is the core coding surface for AR/VR experiences.",
            "slug": "programming-languages-for-xr",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AR/VR Engineer",
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              "rationale": null,
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              "slug": "ar-vr-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Python Programming",
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            "rationale": "Core Python language skills used to implement backend business logic, request handlers, integrations, and service internals. This is the primary coding surface for the role.",
            "slug": "python-programming",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
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              "rationale": null,
              "role_archetype": "Engineering",
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              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Python",
      "matched_via": "alias",
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      "was_in_llm_skills": true
    },
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          "alias_text": "microservices",
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          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
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        "display_name": "microservices",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PATTERN",
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        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
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            "rationale": "Architectural patterns for decomposed backend systems and the operational concerns they introduce. Covers service boundaries, consistency tradeoffs, retries, circuit breakers, and distributed coordination.",
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            "source": "db"
          },
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            },
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              "display_name": "Node.js Backend Developer",
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            },
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              "rationale": null,
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              "slug": "scala-backend-developer",
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          ]
        }
      ],
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      "matched_via": "alias",
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    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Big Data",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Data Engineering Tools",
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          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
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          "volatility": "MEDIUM"
        },
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        "locked_dimensions": [],
        "merge_log": [],
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        "skill_id": "big-data",
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      },
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    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Data Anonymization",
      "matched_via": null,
      "new_alias_persisted": false,
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      "new_skill_meta": {
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        "skill_id": "data-anonymization",
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      "source_tag": "llm",
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    },
    {
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      "input_skill": "Differential Privacy",
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      "new_alias_persisted": false,
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        "warnings": []
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      "was_in_llm_skills": true
    },
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          "alias_text": "API",
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          "id": 2514,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "API",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "api",
        "sub_category_id": 1174,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
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            "rationale": "Client-side integration with backend endpoints and third-party services, including request shaping, response handling, and synchronization with UI state. This is central to frontend work because most screens depend on remote data.",
            "slug": "api-integration-and-data-fetching",
            "source": "db"
          },
          "input_skill": "API",
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          "roles_from_db": [
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              "id": 90,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "angular-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Frontend Developer",
              "id": 7,
              "rationale": null,
              "role_archetype": null,
              "slug": "frontend-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 435,
              "rationale": null,
              "role_archetype": "Engineering",
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            },
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "React Frontend Developer",
              "id": 89,
              "rationale": null,
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              "source": "db"
            },
            {
              "display_name": "Svelte Frontend Developer",
              "id": 92,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "svelte-frontend-developer",
              "source": "db"
            },
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              "display_name": "Vue Frontend Developer",
              "id": 91,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "vue-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Web Developer",
              "id": 25,
              "rationale": null,
              "role_archetype": null,
              "slug": "web-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "API",
      "matched_via": "alias",
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      "new_alias_text": null,
      "new_skill_meta": null,
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      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Big Data",
    "Data Anonymization",
    "Differential Privacy"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Backend Developer",
    "id": 1,
    "rationale": "Domain=Software Engineering; The JD centers on backend microservices, large-scale data platforms, and scalable privacy-focused systems, which best matches a backend engineer role.",
    "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"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Go",
      "tag": "in_db"
    },
    {
      "skill": "Java",
      "tag": "in_db"
    },
    {
      "skill": "Scala",
      "tag": "in_db"
    },
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "Microservices",
      "tag": "in_db"
    },
    {
      "skill": "Big Data",
      "tag": "new"
    },
    {
      "skill": "Data Anonymization",
      "tag": "new"
    },
    {
      "skill": "Differential Privacy",
      "tag": "new"
    },
    {
      "skill": "API",
      "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": 1,
        "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": "Go",
        "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": 1,
        "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": "Go",
        "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": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages",
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      },
      {
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        "dimension": {
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          "slug": "microservices-and-distributed-systems",
          "source": "db"
        },
        "dimension_id": 9,
        "input_skill": "Microservices",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "Backend Developer",
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            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
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          {
            "display_name": "Node.js Backend Developer",
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            "rationale": null,
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          {
            "display_name": "Scala Backend Developer",
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          "rationale": "Client-side integration with backend endpoints and third-party services, including request shaping, response handling, and synchronization with UI state. This is central to frontend work because most screens depend on remote data.",
          "slug": "api-integration-and-data-fetching",
          "source": "db"
        },
        "dimension_id": 127,
        "input_skill": "API",
        "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": "Angular Frontend Developer",
            "id": 90,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "angular-frontend-developer",
            "source": "db"
          },
          {
            "display_name": "Frontend Developer",
            "id": 7,
            "rationale": null,
            "role_archetype": null,
            "slug": "frontend-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 435,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "fullstack-developer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          },
          {
            "display_name": "React Frontend Developer",
            "id": 89,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "react-frontend-developer",
            "source": "db"
          },
          {
            "display_name": "Svelte Frontend Developer",
            "id": 92,
            "rationale": null,
            "role_archetype": "Engineering",
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            "source": "db"
          },
          {
            "display_name": "Vue Frontend Developer",
            "id": 91,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "vue-frontend-developer",
            "source": "db"
          },
          {
            "display_name": "Web Developer",
            "id": 25,
            "rationale": null,
            "role_archetype": null,
            "slug": "web-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1568,
        "skill_tag": "in_db",
        "skipped_reason": null
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 0
  },
  "planner_output": null,
  "run_id": "20801ab9-c293-4a53-a363-7a0e98ac081b"
}

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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