Forgerock Identity Management Role Descriptions: 7 years expert level experience in Workday integrations Web Services Workday Studio PECI EIB Core Connectors PICOF SOAP REST API SQL and system integration developmentExpertise in building Workday PECI and PICOF integrationsLocation Bellandur Bangalore WFO at customer location
Essential Skills: Workday Integration Developer with Studio knowledge
WORKDAY INTEGRATION DEV -TECHNICAL
please share only those profiles that have hands-on Workday studio integration development experience. We are specifically looking for candidates with strong expertise in studio integration development and Payroll integrations, as these are the primary skill sets required for this client requirement. While filtering and routing candidate profiles, please make sure the studio integration development experience is the primary screening criterion.
Responsibilities:
• 7+ Yrs expert level experience in Workday integrations, Web Services, Workday Studio, PECI, EIB, Core Connectors, PICOF, SOAP, REST API, SQL, and system integration development
• Expertise in building Workday PECI and PICOF integrations.
• Location -Bellandur - Bangalore (WFO at customer location).
Responsibilities
Forgerock Identity Management Role Descriptions: 7 years expert level experience in Workday integrations Web Services Workday Studio PECI EIB Core Connectors PICOF SOAP REST API SQL and system integration developmentExpertise in building Workday PECI and PICOF integrationsLocation Bellandur Bangalore WFO at customer location
Essential Skills: Workday Integration Developer with Studio knowledge
WORKDAY INTEGRATION DEV -TECHNICAL
please share only those profiles that have hands-on Workday studio integration development experience. We are specifically looking for candidates with strong expertise in studio integration development and Payroll integrations, as these are the primary skill sets required for this client requirement. While filtering and routing candidate profiles, please make sure the studio integration development experience is the primary screening criterion.
Responsibilities:
• 7+ Yrs expert level experience in Workday integrations, Web Services, Workday Studio, PECI, EIB, Core Connectors, PICOF, SOAP, REST API, SQL, and system integration development
• Expertise in building Workday PECI and PICOF integrations.
• Location -Bellandur - Bangalore (WFO at customer location).
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Digital : Digital Workplace Studio~Workday Integration Cloud and Cloud Connect
Role Purpose :
Own the next evolution of our backend search stack, with immediate focus on improving retrieval quality through location-aware ranking using text locations (for example: America, Germany, Kassel.
Business Context
Search relevance is a key product lever. Users should receive results that are semantically relevant and geographically/contextually appropriate, with local content prioritized over remote content when confidence is comparable..
Level
Senior Backend Engineer (individual contributor with end-to-end ownership)
1. Baseline and observability established: Define search quality and latency baseline. Introduce KPI dashboard for relevance and performance.
2. Location-aware ranking delivered to production: Implement text-location normalization and hierarchy handling. Add local-first ranking boost with robust fallback to remote/global content.
3. Quality lift proven: Demonstrate measurable uplift in relevance metrics. Validate no unacceptable latency regression.
4. Safe rollout and maintainability: Deliver controlled rollout plan (flags/canary/A-B). Provide clear scoring documentation and tuning knobs.
Scope of Responsibility
1. Retrieval and ranking logic across semantic/hybrid search pipeline.
2. Location signal modeling from user-provided strings.
3. Relevance evaluation and experiment design.
4. Performance optimization in database/query layer.
5. Cross-functional collaboration with product, AI, and platform teams.
Must-Have Competencies
* Backend engineering in Kotlin/Java, including APIs, services, and clean architecture.
* SQL and data modeling, including performance tuning in PostgreSQL.
* Production search and retrieval optimization experience.
* Ranking and relevance tuning, including precision/recall trade-offs and reranking.
* Vector or hybrid retrieval systems, such as pgvector or equivalent technologies.
* Ability to design and implement location-aware ranking from text inputs.
* Production rollout discipline, including feature flags, canary releases, and observability.
* Communication and cross-team collaboration.
Nice-to-Have Competencies :
* Experimentation and metrics, including NDCG, MRR, Recall@K, and latency.
* RAG pipeline experience in enterprise knowledge systems.
* Multilingual search and normalization strategies.
* Taxonomy, ontology, or metadata-driven ranking design.
* Quarkus framework experience.
* Azure platform integration experience.
* CI/CD pipeline experience with GitHub Actions, Maven and Docker.
Role-Specific Technical Expectations: Location Search
1. Normalize location strings: Handle variants and aliases (for example: US, USA, United States, America). Support multilingual naming patterns where relevant.
2. Model location hierarchy: City -> country -> region mappings (for example: Kassel -> Germany -> Europe).
3. Integrate ranking signals: Composite score design combining semantic relevance + location proximity + source quality/freshness. Prefer local content when relevance is close; do not suppress critical global content.
4. Add fallback logic: Graceful behavior when location is missing, ambiguous, or unmatched.
5. Keep behavior explainable: Log and expose ranking reasons for debugging and tuning.
TechStack
* Backend: Quarkus 3 (Preferred)
* Language: Kotlin (JVM 21) (Preferred)
* APIs: REST + WebSocket
* Database: PostgreSQL + pgvector
* AI/RAG: LangChain4j, Ollama (dev/test), Azure OpenAI (k8s)
* Background jobs: JobRunr
* Migrations: Flyway
* Storage: Azure Blob Storage
* Document processing: Azure Document Intelligence
* Build: Maven
Responsibilities
Role Purpose :
Own the next evolution of our backend search stack, with immediate focus on improving retrieval quality through location-aware ranking using text locations (for example: America, Germany, Kassel.
Business Context
Search relevance is a key product lever. Users should receive results that are semantically relevant and geographically/contextually appropriate, with local content prioritized over remote content when confidence is comparable..
Level
Senior Backend Engineer (individual contributor with end-to-end ownership)
1. Baseline and observability established: Define search quality and latency baseline. Introduce KPI dashboard for relevance and performance.
2. Location-aware ranking delivered to production: Implement text-location normalization and hierarchy handling. Add local-first ranking boost with robust fallback to remote/global content.
3. Quality lift proven: Demonstrate measurable uplift in relevance metrics. Validate no unacceptable latency regression.
4. Safe rollout and maintainability: Deliver controlled rollout plan (flags/canary/A-B). Provide clear scoring documentation and tuning knobs.
Scope of Responsibility
1. Retrieval and ranking logic across semantic/hybrid search pipeline.
2. Location signal modeling from user-provided strings.
3. Relevance evaluation and experiment design.
4. Performance optimization in database/query layer.
5. Cross-functional collaboration with product, AI, and platform teams.
Must-Have Competencies
* Backend engineering in Kotlin/Java, including APIs, services, and clean architecture.
* SQL and data modeling, including performance tuning in PostgreSQL.
* Production search and retrieval optimization experience.
* Ranking and relevance tuning, including precision/recall trade-offs and reranking.
* Vector or hybrid retrieval systems, such as pgvector or equivalent technologies.
* Ability to design and implement location-aware ranking from text inputs.
* Production rollout discipline, including feature flags, canary releases, and observability.
* Communication and cross-team collaboration.
Nice-to-Have Competencies :
* Experimentation and metrics, including NDCG, MRR, Recall@K, and latency.
* RAG pipeline experience in enterprise knowledge systems.
* Multilingual search and normalization strategies.
* Taxonomy, ontology, or metadata-driven ranking design.
* Quarkus framework experience.
* Azure platform integration experience.
* CI/CD pipeline experience with GitHub Actions, Maven and Docker.
Role-Specific Technical Expectations: Location Search
1. Normalize location strings: Handle variants and aliases (for example: US, USA, United States, America). Support multilingual naming patterns where relevant.
2. Model location hierarchy: City -> country -> region mappings (for example: Kassel -> Germany -> Europe).
3. Integrate ranking signals: Composite score design combining semantic relevance + location proximity + source quality/freshness. Prefer local content when relevance is close; do not suppress critical global content.
4. Add fallback logic: Graceful behavior when location is missing, ambiguous, or unmatched.
5. Keep behavior explainable: Log and expose ranking reasons for debugging and tuning.
TechStack
* Backend: Quarkus 3 (Preferred)
* Language: Kotlin (JVM 21) (Preferred)
* APIs: REST + WebSocket
* Database: PostgreSQL + pgvector
* AI/RAG: LangChain4j, Ollama (dev/test), Azure OpenAI (k8s)
* Background jobs: JobRunr
* Migrations: Flyway
* Storage: Azure Blob Storage
* Document processing: Azure Document Intelligence
* Build: Maven
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
