We are looking for a Senior Java Backend Developer with strong experience in Java, Spring Boot, and backend application development. The ideal candidate should have a solid understanding of application performance, including CPU and memory optimization, along with hands-on experience in Node.js or Python FastAPI. Exposure to Generative AI and/or GraphQL will be an added advantage.
Key Responsibilities
Design, develop, and maintain scalable and high-performance backend applications using Java and Spring Boot.
Develop robust RESTful APIs and backend services following best practices for security, scalability, and maintainability.
Analyze and optimize application performance, with a strong focus on CPU utilization, memory management, and overall system efficiency.
Identify performance bottlenecks and implement appropriate optimization and tuning techniques.
Collaborate with frontend, DevOps, architecture, and product teams to deliver end-to-end solutions.
Develop or integrate services using Node.js or Python FastAPI as required.
Troubleshoot complex production and application-level issues and drive root-cause resolution.
Participate in code reviews, technical discussions, and architectural decision-making.
Contribute to improving application reliability, scalability, and performance.
Stay current with emerging technologies and contribute to the adoption of modern backend engineering practices.
Required Qualifications
Strong hands-on experience with Java backend development.
Strong experience with Spring Boot and Spring-based application development.
Solid understanding of CPU and memory optimization techniques in backend applications.
Experience in identifying and resolving performance bottlenecks.
Hands-on experience with Node.js or Python FastAPI.
Strong understanding of REST APIs, microservices, and backend architecture.
Good understanding of software development lifecycle, coding standards, and version control.
Strong problem-solving and debugging skills.
Preferred Skills
Exposure to Generative AI / Gen AI technologies and use cases.
Experience with GraphQL and GraphQL-based APIs.
Experience with cloud platforms and cloud-native application development.
Familiarity with containerization and CI/CD practices.
Experience with application monitoring and performance profiling tools.