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.
Responsibilities
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.
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.
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
Base Compensation Range: $130,000- $150,000
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Skills Required
- Bachelor's degree in computer science or a related field
- 10+ years of backend software development experience
- At least 7 years of Java Spring Boot experience
- Experience with microservices architecture, RESTful API design, and event-driven patterns
- Proficiency with AWS RDS, S3, SQS, Lambda, ECS/EKS, and API Gateway
- Experience building high-volume, low-latency financial data processing pipelines
- Understanding of OAuth2, JWT, and API security best practices
- Experience with Docker, Kubernetes, and CI/CD tools such as Jenkins or GitHub Actions
- Deep Java expertise with Spring Data JPA, Spring Security, and Spring Batch
- Experience with CQRS, event sourcing, saga, and API gateway design patterns
- Experience with JVM optimization, connection pooling, and database query optimization
- Ability to translate complex domain rules into clean, testable code
- Strong problem-solving skills and ability to drive technical decisions collaboratively
- Domain exposure to securities, reference data, or Master Data Management
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
