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
Nice to Have
Experience in financial services or capital markets domain
Exposure to cloud platforms (Azure/AWS/GCP)
Understanding of high-availability and resilience patterns
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
Nice to Have
Experience in financial services or capital markets domain
Exposure to cloud platforms (Azure/AWS/GCP)
Understanding of high-availability and resilience patterns