Java AI Engineer

Responsibilities

• Java Engineering

• Design and develop scalable Java tools and frameworks focusing on application Performance and Resiliency testing

• Build frameworks and reusable components to shift left and accelerate performance and resiliency testing.

• Build internal developer platforms and frameworks that accelerate engineering productivity.

• Develop services that interact with micro-services architectures and distributed systems.

• AI Agent Development

• Design and implement Agentic AI workflows that automate engineering tasks such as code analysis, PR validation, test orchestration, Results analysis and CI/CD operations.

• Build AI agents using GitHub Copilot Agent Mode, leveraging Claude models and other LLMs.

• Develop developer productivity agents inside IntelliJ and GitHub environments.

• Create AI-assisted tooling for root cause analysis, test generation, and system diagnostics.

• CI/CD Automation

• Build and optimize GitHub Actions (GHA) pipelines for large-scale mono-repos and microservices architectures.

• Develop automation that integrates AI agents directly into CI/CD workflows.

• Implement automated checks for:

• performance regressions

• code quality

• test coverage

• release readiness

• Performance Engineering

• Design frameworks for performance testing automation and continuous performance validation.

• Build tooling that integrates performance tests into CI/CD pipelines.