Java Full Stack Developer

• Overall Experience & Ownership *

• Typically 5-8 years of hands-on full-stack development experience.
• Works independently on complex features, with minimal day-to-day hand-holding.
• Owns design and delivery of stories end-to-end, from refinement through production support.
• Acts as a go-to engineer within the squad, but is not yet an enterprise or architectural authority.

• AI tool exposure like Kiro, Amazon Q is a plus but not required., * Understands CI/CD pipelines and can troubleshoot build or deployment failures.

• Not responsible for platform strategy, but expected to be platform-aware and self-sufficient.

Quality, Security & Compliance

• Writes unit and component tests as part of normal development.

• Participates in code reviews with a strong quality mindset.

• Understands secure coding principles and follows DTCC security standards.

• Aware of audit, compliance, and resilience expectations in a financial-services environment.

Java, Software Engineering, Production Support, Enterprise Architecture, Artificial Intelligence (AI), User Interface/Experience (UI/UX), React.js, Application Programming Interface (API), Error Handling, Java, * Strong working experience with Angular or React.

• Develops maintainable, modular UI components and integrates them with backend APIs.

• Understands state management, routing, performance considerations, and error handling.

• Awareness of accessibility and usability standards expected in enterprise applications.

• Any exposure to MFE (Micro Front end) is a plus

Backend Development (Strong Focus) -

• Strong proficiency in Java and Spring Boot.

• Designs and implements production-grade REST APIs following DTCC standards.

• Solid understanding of microservices architecture:

• Service boundaries

• Configuration management

• Inter-service communication

• Error handling and resiliency

• Working experience with Kafka or equivalent messaging systems:

• Producers/consumers

• Topic usage

• Message versioning awareness

• Applies logging, monitoring, and exception strategies suitable for regulated environments.

Database & SQL

• Strong SQL proficiency:

• Complex joins

• Subqueries

• Aggregations

• Can diagnose and fix basic query or data-related performance issues.

Cloud, Platform & DevOps

• Working knowledge of:

• Docker

• OpenShift / Kubernetes concepts