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Pipeline run

4689a0fc-0dd7-480e-b119-4c83fa43be22

Pipeline LLM cost (USD)
API 1: $0.0119 API 2: $0.0003 API 3: $0.0000 Total: $0.0122

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 · Performance and production support
Builds and tunes Java backend components for an options analytics platform, implementing pricing/risk algorithms and data pipelines, then testing, debugging, and reviewing code to keep the system accurate and fast.
"Implement and optimize complex algorithms for option pricing and risk analysis, ensuring accuracy and performance."
Tech stack maturity
Mainstream Modern
The skill set centers on Java backend development with APIs, CI/CD, design patterns, multithreading, and distributed systems, which aligns with a broadly adopted modern enterprise stack rather than legacy or bleeding-edge tech.
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 (15)
Java Object-Oriented Programming Design Patterns Multithreading JUnit Mockito CI/CD Distributed Systems API Black-Scholes Binomial Model Monte Carlo Method Numerical Methods Algorithms Data Processing
Skill cluster (5 dimension groups, role-scoped)
Concurrency and Parallel Processing
Multithreading
Performance and Scalability Tuning
Distributed Systems
Programming Languages
Java
Testing and Verification
Mockito
Cross-cutting / unaligned
Object-Oriented Programming Design Patterns JUnit CI/CD API Black-Scholes Binomial Model Monte Carlo Method Numerical Methods Algorithms Data Processing
Show KRA description ↓
• Design, develop, and maintain Java-based components for our options analytics platform, including pricing models, risk calculations (Greeks, VaR, etc.), and data processing pipelines. • Implement and optimize complex algorithms for option pricing and risk analysis, ensuring accuracy and performance. • Collaborate with product managers and other stakeholders to understand requirements and translate them into technical solutions. • Write clean, well-documented, and testable code following best practices. • Participate in code reviews and contribute to improving the team's development processes. • Troubleshoot and debug issues, ensuring the stability and reliability of the platform. • Stay up-to-date with the latest advancements in options pricing models, financial markets, and Java technologies. • Contribute to the architecture and design of the overall system. • Mentor junior engineers and provide technical guidance. • Bachelor's or Master's degree in Computer Science, Financial Engineering, or a related field. • 5+ years of experience in software development, with a focus on Java. • Strong understanding of object-oriented programming principles and design patterns. • Proven experience building and optimizing high-performance, multi-threaded applications. • Solid understanding of financial markets, options theory, and derivative pricing models (e.g., Black-Scholes, Binomial, Monte Carlo). • Experience with numerical methods and algorithms used in options pricing and risk management. • Proficiency in working with large datasets and data processing techniques. • Experience with testing frameworks (e.g., JUnit, Mockito) and continuous integration/continuous deployment (CI/CD) pipelines. • Experience building distributed systems and APIs. • Excellent problem-solving and analytical skills. • Strong communication and collaboration skills.

Signals

Skill java-backend-developer
0.27
Alias java-backend-developer
1.00
KRA react-native-developer
0.57

Post-classification

Centroidupdated · n=1702
Alias collision log
New-role queue
New skills captured7
New KRA capturedyes

Captured for admin review

Object-Oriented Programming primary Backend Developer pending
JUnit primary Backend Developer pending
Black-Scholes primary Backend Developer pending
Binomial Model primary Backend Developer pending
Monte Carlo Method primary Backend Developer pending
Numerical Methods primary Backend Developer pending
Data Processing primary Backend Developer pending
R&R fragment (sim 0.00) Backend Developer pending

• Design, develop, and maintain Java-based components for our options analytics platform, including pricing models, risk calculations (Greeks, VaR, etc.), and data processing pipelines. • Implement an…

Status: completed Created: 2026-05-27T17:35:45.903994Z Updated: 2026-05-27T17:36:33.547736Z API 3 duration: 6828 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

Java Backend Developer

sub-role · 0.99 domain · Software Engineering CASE DOMAIN

slug: backend-engineer · id: 1 · source: db · sub-role slug: java-backend-developer

Domain=Software Engineering → sub-role java-backend-developer; The JD is centered on Java backend software development for a high-performance analytics platform with APIs, distributed systems, data processing, and architecture responsibilities.

Matched skills

Javaoptions analytics platformpricing modelsrisk calculationsGreeksVaRdata processing pipelinesobject-oriented programmingdesign patternsmulti-threaded applicationsBlack-ScholesBinomialMonte CarloJUnitMockitoCI/CD pipelinesdistributed systemsAPIs

Matched dimensions

Backend Java DevelopmentFinancial Analytics EngineeringHigh-Performance Concurrent SystemsAlgorithm Implementation for Pricing and RiskData Processing EngineeringSystem Architecture DesignSoftware Quality and TestingMentoring and Technical Leadership

Matched KRAs

Design, develop, and maintain Java-based componentsImplement and optimize complex algorithmsCollaborate with product managers and other stakeholdersWrite clean, well-documented, and testable codeParticipate in code reviewsTroubleshoot and debug issuesContribute to the architecture and designMentor junior engineers

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

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
1
Skipped

Job description

Application Deadline: 31 March 2026
Department: Engineering
Location: Ahmedabad/GiftCity
Compensation: ₹0 - ₹3,494,652 / year


Description

We are seeking a highly motivated and experienced Senior Software Engineer to join our team and play a key role in developing and enhancing our cutting-edge options analytics platform. This role will focus on designing, developing, and implementing robust and scalable Java-based solutions for calculating and analyzing options pricing models and risk metrics. The ideal candidate possesses a strong understanding of financial markets, options theory, and a proven track record of building high-performance, data-driven applications in Java.

What Will You Be Involved With?

• Design, develop, and maintain Java-based components for our options analytics platform, including pricing models, risk calculations (Greeks, VaR, etc.), and data processing pipelines.
• Implement and optimize complex algorithms for option pricing and risk analysis, ensuring accuracy and performance.
• Collaborate with product managers and other stakeholders to understand requirements and translate them into technical solutions.
• Write clean, well-documented, and testable code following best practices.
• Participate in code reviews and contribute to improving the team's development processes.
• Troubleshoot and debug issues, ensuring the stability and reliability of the platform.
• Stay up-to-date with the latest advancements in options pricing models, financial markets, and Java technologies.
• Contribute to the architecture and design of the overall system.
• Mentor junior engineers and provide technical guidance.



What You Bring to the Table

• Bachelor's or Master's degree in Computer Science, Financial Engineering, or a related field.
• 5+ years of experience in software development, with a focus on Java.
• Strong understanding of object-oriented programming principles and design patterns.
• Proven experience building and optimizing high-performance, multi-threaded applications.
• Solid understanding of financial markets, options theory, and derivative pricing models (e.g., Black-Scholes, Binomial, Monte Carlo).
• Experience with numerical methods and algorithms used in options pricing and risk management.
• Proficiency in working with large datasets and data processing techniques.
• Experience with testing frameworks (e.g., JUnit, Mockito) and continuous integration/continuous deployment (CI/CD) pipelines
• Experience building distributed systems and APIs
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.



What We Bring to the Table

• Competitive benefits, including medical, dental, vision,
• Flexible work schedules – with hybrid work – the expectation of 2 days on-site
• 21 PTO (paid time off) days per year with the ability to roll over days into the following year, 1 day per year available for volunteering, 2 Training days per year to allow uninterrupted professional development, 1 additional PTO day added during milestone year, a robust paid holiday schedule with early dismissal, and generous parental leave (for all genders and staff, including adoptive parents)
• Tech resources, including, a “rent-to-own” program where employees are eligible for a company-provided Mac/PC laptop and/or mobile phone of their choice; and a tech accessories budget for monitors, headphones, keyboards, office equipment, etc.
• Subsidy contributions toward gym memberships and health/wellness initiatives
• Milestone anniversary bonuses
• Forward-thinking, a culture-based organization with collaborative teams that promote diversity and inclusion
Trading Technologies (TT) is an equal-opportunity employer. Equal employment has been, and continues to be, a required practice at the Company. Trading Technologies’ practice of equal employment opportunity is to recruit, hire, train, promote, and base all employment decisions on ability rather than race, color, religion, national origin, sex/gender orientation, age, disability, sexual orientation, genetic information or any other protected status. Additionally, TT participates in the E-Verify Program for US offices.


Trading Technologies is a Software-as-a-Service (SaaS) technology platform provider to the global capital markets industry. The company’s award-winning TT® platform connects to the world’s major international exchanges and liquidity venues in listed derivatives alongside a growing number of asset classes, including fixed income and cryptocurrencies. The TT platform delivers advanced tools for trade execution and order management, market data solutions, analytics, trade surveillance, risk management, and infrastructure services to the world’s leading sell-side institutions, buy-side firms, and exchanges. The company’s blue-chip client base includes Tier 1 banks as well as brokers, money managers, hedge funds, proprietary traders, Commodity Trading Advisors (CTAs), commercial hedgers, and risk managers. These firms rely on the TT ecosystem to manage their end-to-end trading operations. In addition, exchanges utilize TT’s technology to deliver innovative solutions to their market participants. TT also strategically partners with technology companies to make their complementary offerings available to Trading Technologies’ global client base through the TT ecosystem.

Skills from this JD

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

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)
Object-Oriented Programming Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Design Patterns Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: design patterns id=1654 · design-patterns

Aliases — catalog

  • design patterns (CANONICAL)

Context tags (catalog)

Adapter Builder Command Composite Decorator Dependency Injection Facade Factory MVC Observer Prototype SOLID Singleton Strategy Visitor

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Software Design Patterns
Confidence
0.94
Version strategy
NOT_APPLICABLE

Maturity reasoning: Design patterns are a standard interview/JD topic across backend and frontend roles; job postings commonly mention them alongside OOP and system design, and they remain core in books, courses, and code reviews.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1247
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Multithreading Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: multithreading id=82 · multithreading

Aliases — catalog

  • multithreading (CANONICAL) primary

Context tags (catalog)

atomic operations concurrent execution condition variable deadlock lock contention mutex non-blocking parallelism producer-consumer race condition semaphore synchronization thread pool thread-safe work stealing

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Concurrency Concept
Confidence
0.94
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common requirement in JDs for backend, systems, and mobile roles; widely taught and used across Java, C++, Go, and Python concurrency stacks.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
7
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Concurrency and Parallel Processing Catalog dimension db id 17

    Library dimension (catalog)

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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Concurrency and Parallel Processing
concurrency-and-parallel-processing
Existing dimension (library) · Role↔dimension saved
JUnit 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
Testing Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Mockito Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Mockito id=2271 · mockito

Aliases — catalog

  • Mockito (CANONICAL) primary

Context tags (catalog)

BDD JUnit Java Mockito annotations Spring assertions behavior verification dependency injection integration testing mock mock creation mocking spy stubbing test doubles test-driven development testing unit testing verification

Stored enrichment (catalog DB)

Category
Library
Sub-category
Mocking Library
Vendor
Mockito
License
apache_2
Year introduced
2007
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: Mockito is a standard Java testing library, commonly listed in Java/Spring job descriptions and widely used in enterprise test suites; no vendor sunset or replacement trend is evident.

Skill profile (library / DB)

Skill nature
LIBRARY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
7
Sub-category id
2252
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Flutter Testing Frameworks Catalog dimension db id 324

    Library dimension (catalog)

    Roles linked in library: Flutter Developer

  • Testing and Verification Catalog dimension db id 284

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, Ruby Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Flutter Testing Frameworks
flutter-testing-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Testing and Verification
testing-and-verification
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CI/CD id=1190 · ci-cd

Aliases — catalog

  • CI/CD (CANONICAL)

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

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

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Distributed Systems Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Distributed Systems id=1369 · distributed-systems

Aliases — catalog

  • Distributed Systems (CANONICAL)

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

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

  • Performance and Scalability Tuning Catalog dimension db id 11

    Library dimension (catalog)

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

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension saved
Performance and Scalability Tuning
performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension saved
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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)
Black-Scholes Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Monte Carlo Method Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Monte Carlo id=132 · monte-carlo

Aliases — catalog

  • Monte Carlo (CANONICAL) primary

Context tags (catalog)

Latin hypercube sampling Markov chain Monte Carlo simulation bootstrap numerical methods option pricing probabilistic modeling quasi-Monte Carlo random sampling risk analysis scenario analysis simulation stochastic uncertainty quantification variance reduction

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Data Observability Platform
Vendor
Monte Carlo Data, Inc.
License
proprietary
Year introduced
2019
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Data observability platforms like Monte Carlo are increasingly appearing in analytics/DE job descriptions, but JD volume is still far below core platforms like Datadog or Snowflake.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
115
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Data Quality and Reconciliation Catalog dimension db id 27

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Data Quality and Reconciliation
data-quality-and-reconciliation
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Numerical Methods Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Algorithms Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Algorithms id=1004 · algorithms

Aliases — catalog

  • Algorithms (CANONICAL)

Context tags (catalog)

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

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Algorithms
Confidence
0.98
Version strategy
NOT_APPLICABLE

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

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

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Data Engineering Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

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

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
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)
Design Patterns in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Multithreading in_db
Concurrency and Parallel Processing
concurrency-and-parallel-processing
Existing dimension (library) · Role↔dimension saved
Mockito in_db
Flutter Testing Frameworks
flutter-testing-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Mockito in_db
Testing and Verification
testing-and-verification
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Distributed Systems in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension saved
Distributed Systems in_db
Performance and Scalability Tuning
performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension saved
Distributed Systems in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
API in_db
API Integration and Data Fetching
api-integration-and-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Monte Carlo Method new
Data Quality and Reconciliation
data-quality-and-reconciliation
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Algorithms in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Object-Oriented Programming | type=Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed JUnit | type=Testing Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Black-Scholes | type=Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Binomial Model | type=Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Numerical Methods | type=Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Data Processing | type=Data Engineering Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
dimension_skill_link_proposed Monte Carlo Method ↔ Data Quality and Reconciliation
nano JD Parser — gpt-4.1-nano click to toggle
RoleSenior Software Engineer
CompanyTrading Technologies
Experience5+ years of experience in software development, with a focus on Java.
CTC{'max': 3494652, 'min': 0, 'raw': '₹0 - ₹3,494,652 / year', 'period': 'annual', 'currency': 'INR'}
DomainSoftware & SaaS Products
Location Ahmedabad, India (hybrid)
JD type pass
Show raw JSON
{
  "JD_type": "pass",
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      "last_5_words": "through the TT ecosystem."
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    "word_count": 164
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  "certifications": [],
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        "last_5_words": "and provide technical guidance."
      },
      "text": "\u2022 Design, develop, and maintain Java-based components for our options analytics platform, including pricing models, risk calculations (Greeks, VaR, etc.), and data processing pipelines.\n\u2022 Implement and optimize complex algorithms for option pricing and risk analysis, ensuring accuracy and performance.\n\u2022 Collaborate with product managers and other stakeholders to understand requirements and translate them into technical solutions.\n\u2022 Write clean, well-documented, and testable code following best practices.\n\u2022 Participate in code reviews and contribute to improving the team\u0027s development processes.\n\u2022 Troubleshoot and debug issues, ensuring the stability and reliability of the platform.\n\u2022 Stay up-to-date with the latest advancements in options pricing models, financial markets, and Java technologies.\n\u2022 Contribute to the architecture and design of the overall system.\n\u2022 Mentor junior engineers and provide technical guidance.",
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        "first_5_words": "\u2022 Bachelor\u0027s or Master\u0027s degree",
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      },
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      "word_count": 139
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}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
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      "is_primary": true,
      "skill_name": "Java"
    },
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      "is_primary": true,
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}
API 2 — extract-details
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      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "CI/CD",
          "alias_type": "CANONICAL",
          "id": 1826,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "CI/CD",
        "id": 1190,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "ci-cd",
        "sub_category_id": 900,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD Pipeline Platforms",
            "id": 150,
            "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
            "slug": "ci-cd-pipeline-platforms",
            "source": "db"
          },
          "input_skill": "CI/CD",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD for Machine Learning",
            "id": 56,
            "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
            "slug": "ci-cd-for-machine-learning",
            "source": "db"
          },
          "input_skill": "CI/CD",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "CI/CD",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Distributed Systems",
          "alias_type": "CANONICAL",
          "id": 2028,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "Distributed Systems",
        "id": 1369,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "distributed-systems",
        "sub_category_id": 1035,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Platforms",
            "id": 20,
            "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
            "slug": "cloud-platforms",
            "source": "db"
          },
          "input_skill": "Distributed Systems",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            },
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            },
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "Go Backend Developer",
              "id": 81,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "go-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Java Backend Developer",
              "id": 79,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "java-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Kotlin Backend Developer",
              "id": 84,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "kotlin-server-backend-developer",
              "source": "db"
            },
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Performance and Scalability Tuning",
            "id": 11,
            "rationale": "Techniques for improving throughput, latency, and resource efficiency in PHP backend services. This includes profiling, query optimization, concurrency limits, memory use, and bottleneck analysis.",
            "slug": "performance-and-scalability-tuning",
            "source": "db"
          },
          "input_skill": "Distributed Systems",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "PHP Backend Developer",
              "id": 86,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "php-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Distributed Systems",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Distributed Systems",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "API",
          "alias_type": "CANONICAL",
          "id": 2514,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "API",
        "id": 1568,
        "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",
            "display_name": "API Integration and Data Fetching",
            "id": 127,
            "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",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Angular Frontend Developer",
              "id": 90,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "angular-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Frontend Developer",
              "id": 7,
              "rationale": null,
              "role_archetype": null,
              "slug": "frontend-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 435,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "fullstack-developer",
              "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",
              "slug": "svelte-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Vue Frontend Developer",
              "id": 91,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "vue-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Web Developer",
              "id": 25,
              "rationale": null,
              "role_archetype": null,
              "slug": "web-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "API",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Black-Scholes",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "black-scholes",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Binomial Model",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "binomial-model",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Monte Carlo",
          "alias_type": "CANONICAL",
          "id": 336,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "Monte Carlo",
        "id": 132,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "monte-carlo",
        "sub_category_id": 115,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Data Quality and Reconciliation",
            "id": 27,
            "rationale": "Validation and reconciliation practices that ensure data is accurate, complete, and trustworthy. This includes rule-based checks, anomaly detection, cross-system reconciliation, and failure triage.",
            "slug": "data-quality-and-reconciliation",
            "source": "db"
          },
          "input_skill": "Monte Carlo Method",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Monte Carlo Method",
      "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": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Numerical Methods",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "numerical-methods",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Algorithms",
          "alias_type": "CANONICAL",
          "id": 1615,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "Algorithms",
        "id": 1004,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "algorithms",
        "sub_category_id": 732,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "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": "Algorithms",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Algorithms",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Data Processing",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Data Engineering Tools",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "data-processing",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Object-Oriented Programming",
    "JUnit",
    "Black-Scholes",
    "Binomial Model",
    "Numerical Methods",
    "Data Processing"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Backend Developer",
    "id": 1,
    "rationale": "Domain=Software Engineering \u2192 sub-role java-backend-developer; The JD is centered on Java backend software development for a high-performance analytics platform with APIs, distributed systems, data processing, and architecture responsibilities.",
    "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": "Java",
      "tag": "in_db"
    },
    {
      "skill": "Object-Oriented Programming",
      "tag": "new"
    },
    {
      "skill": "Design Patterns",
      "tag": "in_db"
    },
    {
      "skill": "Multithreading",
      "tag": "in_db"
    },
    {
      "skill": "JUnit",
      "tag": "new"
    },
    {
      "skill": "Mockito",
      "tag": "in_db"
    },
    {
      "skill": "CI/CD",
      "tag": "in_db"
    },
    {
      "skill": "Distributed Systems",
      "tag": "in_db"
    },
    {
      "skill": "API",
      "tag": "in_db"
    },
    {
      "skill": "Black-Scholes",
      "tag": "new"
    },
    {
      "skill": "Binomial Model",
      "tag": "new"
    },
    {
      "skill": "Monte Carlo Method",
      "tag": "in_db"
    },
    {
      "skill": "Numerical Methods",
      "tag": "new"
    },
    {
      "skill": "Algorithms",
      "tag": "in_db"
    },
    {
      "skill": "Data Processing",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Java Language and JVM",
          "id": 279,
          "rationale": "Core Java implementation skills used to build backend service logic, utilities, and internal abstractions. This is the primary coding surface for the role and includes language features plus JVM behavior that affect correctness and maintainability.",
          "slug": "java-language-and-jvm",
          "source": "db"
        },
        "dimension_id": 279,
        "input_skill": "Java",
        "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": "Java Backend Developer",
            "id": 79,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "java-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Kotlin Backend Developer",
            "id": 84,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "kotlin-server-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Kotlin and Java",
          "id": 161,
          "rationale": "Primary implementation languages for Android app features, platform integration, and client-side business logic. Android engineers use these languages to build screens, state flows, service adapters, and device-aware behavior.",
          "slug": "kotlin-and-java",
          "source": "db"
        },
        "dimension_id": 161,
        "input_skill": "Java",
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        "matched_chosen_role": false,
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