Job Description
REQUIREMENTS:
Total experience: 11+ years. Must have strong hands-on experience in Java Spring Boot and Angular. Should be able to design, develop, and maintain full stack web applications with strong focus on backend services, frontend applications, and REST APIs. Must have experience in end-to-end feature development, from requirement analysis and design to implementation, testing, and deployment. Strong knowledge of OOPs, software design patterns, clean code, clean architecture, and data structures. Must have hands-on experience with API integrations, PostgreSQL, and integration platforms such as Apigee / Kong / MuleSoft. Should have strong understanding of secure coding practices, including authentication, authorization, input validation, and OWASP principles. Must have hands-on experience with CI/CD pipelines, containerized development, and cloud-native deployment environments. Strong experience with automated testing across unit, integration, and end-to-end testing. Should be able to write clean, maintainable, testable code, participate in code reviews, and improve system performance, reliability, and scalability. Familiarity with AI development tools to accelerate coding, testing, refactoring, and engineering productivity is required. Must have strong collaboration and communication skills to work with product, architecture, QA, and platform teams in Agile environments. Bachelor’s degree in Computer Science, Software Engineering, or a related field is required. RESPONSIBILITIES:
Design, build, and maintain scalable backend services using Java Spring Boot and modern frontend applications using Angular. Develop robust APIs, integrations, business services, and user-facing product functionality. Apply strong engineering practices across development, including clean code, design patterns, secure coding, and maintainability. Participate in system design, technical decomposition, code reviews, and design reviews. Identify and resolve performance, scalability, reliability, and security issues across the application stack. Use AI development tools responsibly to accelerate engineering delivery without compromising code quality, security, or architecture. Support automated testing, CI/CD, deployment, and engineering best practices across the development lifecycle. Collaborate closely with product managers, architects, designers, QA, and platform teams to deliver high-quality product increments. Troubleshoot complex technical issues, support production rollouts, and contribute to continuous engineering improvement. Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
