Java Developer with AKS

Summary

We are looking for a Java Developer with 4-6 years of experience in building backend services using Java (21+) and Spring Boot. The role involves designing and developing REST APIs, hosting applications in Azure Kubernetes Service (AKS), working with PostgreSQL databases, and leveraging modern AI-assisted development tools to improve productivity, code quality, and delivery efficiency.

Key Responsibilities

• Design, develop, test, and maintain backend applications using Java and Spring Boot with Microservices architecture

• Build and consume RESTful APIs and integrate with internal/external services

• Develop and optimize PostgreSQL schema, queries, and database performance

• Implement business logic with strong focus on clean code, SOLID principles, and maintainability

• Write unit/integration tests and support CI/CD quality gates

• Leverage AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, IntelliCode) for code generation, debugging, documentation, and productivity improvements

• Use AI tools for automated test generation, code review support, and performance optimization insights

• Participate in code reviews, debugging, and production issue resolution

• Collaborate with product, frontend, QA, and DevOps teams in Agile delivery

Required Skills & Experience

• 4-6 years of hands-on development experience in backend systems

• Strong proficiency in Core Java, OOP, Collections, Exception handling, & Streams

• Strong experience with Spring Boot (REST, validation, configuration, profiles)

• Experience with PostgreSQL (joins, indexing, query optimization, schema design)

• Familiarity with ORM frameworks such as Spring Data JPA / Hibernate

• Experience with Maven/Gradle, Git, and standard development workflows

• Working exposure to AI developer tools (e.g., GitHub Copilot, Azure OpenAI, IntelliCode, Sonar AI capabilities) to enhance development efficiency

• Excellent troubleshooting and debugging skills and ability to work on performance issues

Good to Have

• Working knowledge of Axway-CFT, IBM MQ

• Observability: Logging, monitoring, and tracing (ELK, Prometheus/Grafana, OpenTelemetry)

• Exposure to AI-enabled DevOps practices (e.g., AI-based code analysis, automated quality checks, intelligent monitoring insights)