Java Full Stack Developer

Job Description :

Key Responsibilities :

• Lead the end-to-end design, development, testing, deployment, and maintenance of full-stack applications.
• Provide technical leadership and guidance to development teams, ensuring adherence to engineering best practices.
• Design scalable, secure, maintainable, and high-performance application architectures.
• Develop robust backend services and RESTful APIs using Java and Spring Boot.
• Contribute to front-end development using modern frameworks such as Angular or React.
• Conduct code reviews and ensure adherence to coding standards, design principles, and best practices.
• Translate business and functional requirements into effective technical solutions.
• Collaborate closely with product managers, business stakeholders, architects, QA teams, and DevOps engineers.
• Drive technical discussions, architecture decisions, and resolution of complex engineering challenges.
• Identify technical risks and dependencies and proactively work toward their resolution.
• Mentor developers and support the team in improving technical capabilities and engineering practices.
• Ensure application performance, scalability, reliability, and security across the development lifecycle.
• Participate in Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives.
• Contribute to continuous improvement of development processes, engineering standards, and delivery practices.
• Support CI/CD implementation and ensure smooth integration and deployment across environments.
• Work with cloud platforms and cloud-native technologies to build and deploy scalable applications.
• Utilize AI-assisted development tools to improve productivity, accelerate development, and enhance code quality.

Required Technical Skills :

• Strong hands-on experience in Java development.
• Strong proficiency in Spring Boot and related Java frameworks.
• Good experience in designing and developing RESTful APIs and microservices.
• Strong understanding of object-oriented programming, design patterns, and software engineering principles.
• Hands-on experience with Angular or React is preferred.
• Strong understanding of front-end and backend integration.
• Good knowledge of databases, data modelling, and application performance optimization.
• Understanding of SDLC and software engineering best practices.
• Strong experience working in Agile development environments.
• Good understanding of DevOps practices and CI/CD pipelines.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Understanding of source control and collaborative development practices, preferably Git.

AI-Assisted Development :

• The candidate should be comfortable working with modern AI-powered software development tools and understand how to incorporate them responsibly into the engineering lifecycle.
• Exposure to tools such as :
• GitHub Copilot
• Cursor
• Devin
• Claude Code
• Windsurf
• Amazon Q
• Kiro
• Experience using AI-assisted tools for code generation, code refactoring, debugging, documentation, test creation, developer productivity, or software development workflows will be an advantage.

Leadership & Collaboration :

• Proven ability to lead technical initiatives and guide engineering teams.
• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management skills.
• Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
• Strong ownership and accountability for technical deliverables.
• Ability to make sound technical decisions and balance scalability, performance, maintainability, and delivery timelines.
• Ability to mentor and coach team members and foster strong engineering practices.

SDLC, Agile & DevOps :

• Strong understanding of the complete Software Development Life Cycle.
• Experience working with Agile/Scrum methodologies.
• Familiarity with CI/CD pipelines and automated build and deployment processes.
• Understanding of application monitoring, logging, troubleshooting, and production support.
• Ability to collaborate with DevOps teams to improve deployment reliability and engineering efficiency.

Preferred Qualifications :

• Experience working on enterprise-scale applications.
• Experience with microservices-based architectures.
• Exposure to cloud-native application development.
• Experience working in distributed and cross-functional teams.
• Experience driving technical modernization or application transformation initiatives.
• Experience adopting AI-assisted development practices within software engineering teams.