Sr Java​/Springboot Developer

Sr

Java/Springboot Developer

Location - Dallas, TX (Onsite)

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.

• 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, Dev Ops, 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.

• 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.

• 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.