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Manager

EXL · IT Services & Consulting

  • Pune, Maharashtra, India
  • On-site
  • Posted today

About the job

We are looking for a Senior Backend Java Developer to design and build the core backend services of a Master Data Management platform for a leading global credit ratings organization. You will engineer the server-side components that power Security Master, Entity Master, and Reference Data workflows — including data ingestion, processing, match-merge engines, workflow orchestration, and integration with downstream systems — using Java Spring Boot on AWS.

Design and develop backend microservices using Java Spring Boot for MDM core functions: data ingestion, validation, match-merge, golden record management, and stewardship workflows.
Build RESTful APIs consumed by the React UI and downstream enterprise systems, following OpenAPI/Swagger standards.
Implement business logic for survivorship rules, conflict resolution, and golden record computation for Security and Entity Master data.
Integrate with AWS services: RDS, S3, SQS/SNS, Lambda, ECS/EKS, API Gateway
Build workflow orchestration for stewardship tasks using AWS Step Functions or equivalent.
Implement security controls: OAuth2/JWT authentication, role-based access control (RBAC), and data masking.
Write unit and integration tests; participate in code reviews and enforce coding standards.
Collaborate with the MDM Architect on design decisions and contribute to HLD/LLD documentation.
Support DevOps pipelines (CI/CD) for containerized deployments on Docker/EKS.
Participate in Agile ceremonies and contribute to sprint planning, estimation, and retrospectives.

Education & Experience

Bachelor’s degree in computer science or related field.
10+ years of backend software development experience with at least 7 years on Java Spring Boot.
Strong experience with microservices architecture, RESTful API design, and event-driven patterns.
Proficiency with AWS cloud services: RDS, S3, SQS, Lambda, ECS/EKS, API Gateway.
Experience building data processing pipelines for high-volume, low-latency financial data.
Solid understanding of OAuth2, JWT, and API security best practices.
Experience with Docker, Kubernetes, and CI/CD tools (Jenkins, GitHub Actions).
Domain exposure to financial data — securities, reference data, or MDM — is strongly preferred.

Knowledge, Skills & Abilities

Deep Java expertise: Spring Boot, Spring Data JPA, Spring Security, Spring Batch.

Microservices design patterns: CQRS, event sourcing, saga, API gateway

Performance tuning: JVM optimization, connection pooling, database query optimization.
Ability to translate complex domain rules (golden record logic, survivorship) into clean, testable code.
Strong problem-solving skills and ability to drive technical decisions in a collaborative team environment