Job Description:
We are seeking a skilled Full Stack Engineer with 6–8 years of experience to design and deliver scalable enterprise product features across front-end and back-end layers. The ideal candidate will have strong engineering fundamentals, hands-on experience building production-grade applications, and the ability to work effectively with modern AI-powered development tools to accelerate delivery while maintaining quality and maintainability.
Key Responsibilities
• Design, develop, test, and deploy end-to-end product features across front-end and back-end layers.
• Build scalable, secure, and maintainable services, APIs, and user-facing functionality.
• Collaborate with product, design, QA, and architecture teams to translate requirements into technical solutions.
• Participate in technical design discussions and contribute to application architecture decisions.
• Integrate front-end applications with backend services, APIs, and enterprise systems.
• Write clean, testable, and well-documented code following engineering best practices.
• Support CI/CD pipelines, code reviews, and release activities.
• Troubleshoot defects, performance issues, and integration issues across the stack.
• Use AI-assisted development tools effectively for coding, debugging, testing, refactoring, and documentation.
• Stay current with emerging engineering practices, frameworks, and delivery methods.
Required Skills & Experience
• 6–8 years of software development experience, with a strong combination of front-end and back-end engineering.
• Strong hands-on programming experience in Java and Python, with ability to build scalable backend services and APIs in both.
• Hands-on experience with React for front-end development.
• Good understanding of REST APIs, integration patterns, authentication, authorization, and secure application design.
• Experience with databases, data modeling, and query optimization.
• Knowledge of software design principles, object-oriented programming, data structures, and algorithms.
• Experience with modern development practices including unit testing, code reviews, branching strategies, and CI/CD.
• Exposure to cloud platforms such as AWS, Azure, or other cloud environments.
• Experience with containers and deployment concepts such as Docker and Kubernetes is a plus.
• Strong debugging, problem-solving, and system troubleshooting skills.
AI-Assisted Engineering
• Demonstrated ability to use AI-powered development tools such as GitHub Copilot, Claude Code, Cursor, Windsurf, Cline, Aider, Codex, or similar.
• Experience using AI tools to improve productivity in code generation, debugging, testing, refactoring, and documentation.
• Ability to use AI responsibly while maintaining engineering quality, security, and code review discipline.
Education
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline preferred.
Preferred Qualifications
• Experience working in enterprise product environments.
• Exposure to distributed systems and microservices-based architecture.
• Familiarity with observability, monitoring, and performance tuning.
• Experience working in Agile/Scrum delivery teams.