Full Stack Engineer | Java, Spring Boot and Angular

Full Stack Engineer | Java, Spring Boot and Angular

• Experience: 10+ years
• Employment Type: Full-time
• Work Mode: On-site, based on project requirements
• Notice Period: Immediate joiners preferred

Job Summary

We are looking for an experienced Full Stack Engineer with strong expertise in Java, Spring Boot, Angular and TypeScript to design, develop and maintain secure, scalable and high-performance enterprise web applications.

The ideal candidate must have hands-on experience in backend engineering, frontend architecture, API development, event-driven systems, databases, containerization, testing and CI/CD. The role also requires strong ownership, technical problem-solving, collaboration and mentoring capabilities.

Job Requirements

• Bachelors degree in Computer Science, Engineering or a related field, or equivalent education and professional experience.
• Minimum 10 years of software development experience with strong full stack application development exposure.
• Strong hands-on experience in Java-based backend development.
• Excellent proficiency in Spring Boot, Spring MVC and Spring Security.
• Strong experience in Angular and TypeScript, including the development of modular, scalable and maintainable frontend applications.
• Experience in Angular component architecture, dependency injection, routing, reusable components and state management.
• Strong knowledge of RESTful API design and implementation.
• Experience integrating applications using REST APIs, GraphQL, JSON and OAuth.
• Experience with secure authentication, authorization and token-handling mechanisms.
• Hands-on experience with SQL and NoSQL databases.
• Experience working with Kafka and event-driven architectures.
• Experience with Docker, Kubernetes, CI/CD tools, Git and automated testing frameworks.
• Ability to build responsive, accessible and pixel-accurate user interfaces aligned with UX/UI guidelines and enterprise design systems.
• Experience optimizing backend services and frontend applications for performance, reliability and scalability.
• Familiarity with Agile/Scrum methodologies, JIRA and Confluence.
• Exposure to GenAI, data analysis, Microsoft Copilot or ChatGPT in software engineering workflows.
• Strong analytical, problem-solving and troubleshooting capabilities.
• Excellent written and verbal communication skills in English.
• Immediate availability or ability to join at short notice is preferred.

Key Responsibilities

• Design, develop and maintain high-performance server-side applications, APIs and Angular frontend applications.
• Build clean, reusable, modular, scalable and maintainable code using Java, Spring Boot, Angular and TypeScript.
• Develop secure REST APIs and GraphQL services for enterprise applications.
• Integrate frontend applications with backend services using REST, GraphQL, JSON and OAuth.
• Design reusable Angular components and scalable frontend architecture.
• Implement effective state management for complex and multi-step user journeys.
• Deliver responsive, accessible and pixel-accurate interfaces aligned with UX/UI guidelines and design systems.
• Optimize backend and frontend applications for speed, scalability, reliability and performance.
• Implement application security, authentication, authorization and data-protection measures.
• Design and implement Kafka-based producers, consumers and event-driven integrations.
• Develop appropriate retry, idempotency, exception-handling and logging mechanisms.
• Drive code quality through automated testing, CI/CD pipelines, peer reviews and engineering best practices.
• Write unit, integration, component and end-to-end tests.
• Monitor applications, investigate production issues and minimize system downtime.
• Collaborate with product managers, UX designers, QA engineers, DevOps teams and distributed engineering teams.
• Participate in architecture, solution-design and technical decision-making discussions.
• Mentor junior developers and support the development of a high-performance engineering culture.
• Use AI-assisted engineering tools responsibly to improve productivity, functionality and application performance.
• Ensure confidential information and proprietary code are protected while using AI-based tools.
• Stay updated with emerging technologies and continuously improve engineering practices and development processes.