REQUIREMENTS:
• Total experience: 11+ years.
• Strong hands-on experience in Java and Spring Boot for backend application development.
• Must-have expertise in Angular for building modern, scalable web applications.
• Strong experience in designing and developing RESTful APIs and service-based architectures.
• Hands-on experience with PostgreSQL and relational database design.
• Experience working with API Management/Integration platforms such as Apigee, Kong, or MuleSoft.
• Strong understanding of Object-Oriented Programming (OOP), software design patterns, clean architecture, and separation of concerns.
• Hands-on experience with CI/CD pipelines, containerized development, and cloud-native deployment environments.
• Strong experience implementing automated testing across unit, integration, and end-to-end testing.
• Experience applying secure coding practices, including authentication, authorization, input validation, data protection, and OWASP principles.
• Familiarity with AI-assisted development tools for code generation, refactoring, documentation, and engineering productivity.
• Strong experience working in Agile (Scrum/Kanban) product development environments.
• Experience participating in code reviews, technical design discussions, and architecture reviews.
• Strong debugging, problem-solving, communication, and stakeholder collaboration skills.
• Ability to write clean, maintainable, scalable, and production-quality code following engineering best practices.
RESPONSIBILITIES:
• Design, develop, and maintain scalable backend services using Java Spring Boot.
• Design, develop, and maintain modern frontend applications using Angular.
• Build, enhance, and maintain RESTful APIs, integrations, and business services.
• Develop scalable, secure, and high-performance full-stack applications following clean architecture principles.
• Apply software design patterns, object-oriented principles, and clean coding practices throughout the development lifecycle.
• Contribute to system architecture, technical design, solution decomposition, and implementation decisions.
• Review and improve application architecture, code quality, maintainability, and overall engineering standards.
• Implement secure coding practices, ensuring application security, data protection, and compliance with OWASP guidelines.
• Develop and execute automated tests across unit, integration, and end-to-end testing levels.
• Build and manage CI/CD pipelines while supporting containerized and cloud-native deployments.
• Leverage AI development tools responsibly to accelerate coding, testing, refactoring, documentation, and engineering productivity.
• Perform code reviews, root cause analysis, debugging, and performance optimization to improve system reliability and scalability.
• Collaborate closely with Product Managers, Architects, QA, Platform teams, and other stakeholders in Agile environments.
• Identify technical risks early and recommend effective solutions to ensure high-quality software delivery.
• Drive continuous improvement in engineering practices, development processes, and product quality.