Java Backend Developer

• Develop clean, maintainable, and secure code for intermediate to complex modules in line with architecture guidelines and documentation standards
• Design, document, and build resilient microservices and high-performance RESTful APIs for seamless cross-service communication
• Review and maintain core software components so they scale efficiently with business growth
• Create test plans, conditions, and test data; conduct module and integration testing; track and resolve defects
• Participate in design and code reviews, giving constructive feedback to uphold quality and security standards
• Create and maintain clear, up-to-date technical documentation
• Partner with Product Owners in agile ceremonies on story creation, technical sizing, and backlog grooming
• Support change management and production deployments, using observability and monitoring tools to ensure post-rollout stability
• Identify runtime issues, troubleshoot bottlenecks quickly, and help resolve complex system defects

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 5+ years of professional software engineering experience building and running enterprise-scale applications
• Strong backend development skills in Java and Spring Boot
• Solid understanding of microservices architecture and hands-on experience building, securing, and consuming REST APIs
• Experience implementing modern security practices, specifically OAuth and JWT
• Hands-on experience with relational (SQL) and/or NoSQL databases such as MongoDB
• Proficiency with GitHub (branching and merging strategies) and automated CI/CD pipelines
• Proficiency with modern IDEs such as IntelliJ IDEA or Visual Studio Code
• Strong sense of ownership and the ability to quickly learn and adapt to new tools and technologies.

Preferred Qualifications

• Backend experience with Python Experience with enterprise observability and monitoring tools such as Datadog (logging, tracing, metrics)
• Exposure to Large Language Models and agentic AI frameworks (e.g., Lang Chain, Lang Graph, Microsoft Agent Framework, Google ADK)
• Front-end experience with React and TypeScript
• Interest in engineering communities and collaborative knowledge sharing.