Java Backend Developer

Key Responsibilities

Analyze business and system requirements and design robust backend solutions aligned with functional and non-functional needs (performance, security, scalability, resilience, observability) Design, develop, and maintain microservices-based applications using Java and Spring framework Develop high-quality, reusable, and maintainable code in line with Zensar and client engineering standards Actively leverage AI tools (e.g., GitHub Copilot, AI agents) to accelerate development, improve code quality, and optimize workflows Build and enhance both business logic and platform capabilities within the product landscape Implement secure and scalable RESTful APIs, following industry best practices (JWT, API security) Work on complex algorithmic calculations and data processing used in financial systems Perform code reviews, enforce coding standards, and contribute to knowledge sharing within the team Collaborate with cross-functional teams (product, QA, DevOps, architecture) in an agile environment Contribute to CI/CD pipelines and support containerized deployments (Kubernetes) Participate in demos and stakeholder presentations to showcase new features and capabilities Ensure application observability through logging, monitoring, and tracing

Required Skills & Experience

7+ years of experience in backend development using Java Bachelor’s/Master’s degree in Computer Science or related field

Strong expertise in:

Spring Framework (Spring Boot, Spring Cloud) Microservices architecture and distributed systems Event-driven systems (Kafka)

Solid experience in:

REST API design and development API security (JWT, authentication/authorization mechanisms) SQL and performance tuning

Hands-on experience with:

Containerization and orchestration (Docker, Kubernetes) CI/CD tools and DevOps practices

Good understanding of observability (logging, monitoring, tracing tools) Strong knowledge of software design patterns, engineering best practices, and coding standards Experience working with AI-assisted development tools and integrating AI in SDLC Excellent problem-solving, analytical, and debugging skills

Soft Skills

Strong communication and presentation skills Collaborative mindset with ability to work across global teams Proactive, ownership-driven approach Ability to work in fast-paced, delivery-focused environments