Senior Software Engineer ,Java
We are seeking a highly skilled Senior Software Engineer II to contribute to the development and delivery of scalable backend systems. In this role, you will focus on building high-quality services, implementing complex features, and supporting the stability and performance of our platform. You will work closely with senior engineers and architects to implement technical solutions while adopting modern engineering practices, including AI-assisted development, to improve productivity and innovation.
What You ll Do
- Develop, enhance, and maintain backend services and features through hands-on coding.
- Implement technical solutions and system enhancements based on defined designs and technical specifications.
- Use AI-assisted development tools and emerging AI capabilities to improve development efficiency and code quality.
- Debug, troubleshoot, and resolve complex issues in development and production environments.
- Collaborate with product managers and engineering teams to implement business requirements into reliable software solutions.
- Write clean, maintainable, and well-tested code while actively participating in code reviews.
- Follow established engineering standards and contribute to a reliable and secure Software Development Lifecycle (SDLC).
- Support CI/CD pipelines, testing automation, and deployment processes.
- Participate in on-call rotations and assist in resolving production issues with minimal customer impact.
What You ll bring
- 6+ years of experience developing backend or distributed systems in production environments.
- Strong expertise in Java and the Spring ecosystem (Spring, Spring Boot) for building production-grade services.
- Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf)
- Familiarity with GenAI concepts, LLM-powered applications, or AI-enabled development workflows.
- Experience building and consuming RESTful APIs and microservices.
- Hands-on experience with MongoDB, Elasticsearch, or similar data technologies.
- Experience working with cloud environments such as AWS, including containerized deployments using Docker and Kubernetes.
- Experience working with CI/CD pipelines and DevOps tooling, including Jenkins, GitLab CI/CD, GitHub Actions, Maven, and NPM
- Good understanding of application reliability, observability, and performance monitoring.
- Experience working in Agile development environments.
- Familiarity with secure coding practices and modern SDLC processes.
- Familiarity with JavaScript, React, or modern frontend frameworks.
- Exposure to agentic AI development, including building AI agents using GenAI/LLM frameworks and integrating with protocols such as Model Context Protocol (MCP).
