Lead Java Developer (Python + AI)

We are building a SWAT-style Forward Deployed Engineering (FDE) team to tackle critical technical challenges across Enterprise Platforms and pioneer AI-assisted software delivery at scale. We are seeking hands-on high-impact engineers who can rapidly onboard onto unfamiliar systems deliver end-to-end solutions and leverage modern AI tooling under tight timelines and high ambiguity.

Req.#

• Rapid Onboarding & Delivery: Quickly onboard onto unfamiliar codebases build and run applications locally and deliver working solutions within tight deadlines
• Production Troubleshooting: Diagnose and resolve complex production issues across multiple platform teams working across distributed systems and microservices architectures
• End-to-End Ownership: Own feature delivery from requirement understanding and code development to integration testing CI/CD pipeline integration and implementation
• AI-Assisted Development: Use advanced AI tools (e.g. Copilot Claude Code) to generate code create test cases accelerate debugging and critically evaluate outputs for correctness
• Agent & Workflow Innovation: Develop agents dynamic workflows and agent orchestration tools while configuring and improving build pipelines (Gradle/Maven CI)
• Cross-Team Collaboration: Collaborate with platform teams to resolve incidents prevent recurrence andin the lead rolecoordinate SWAT engagements

• Enterprise Experience: Strong background working with enterprise-scale distributed systems and microservices architectures
• Core Technical Stack: Proficiency in Java Python Spring Boot APIs and Go (Golang)
• AI & Tooling Fluency: Practical experience with structured prompt writing multi-step AI workflows validation of AI-generated code and agent-based tools (e.g. LangGraph Claude Code)
• Independent Execution: Proven ability to take a system independently through clone build debug modify test and CI/CD integration
• Build & CI/CD Mastery: Hands-on experience with build tooling (Gradle/Maven) environment/dependency management and CI/CD pipelines (e.g. GitHub Actions)
• Debugging & Resilience: Strong root cause analysis skills for build failures dependency conflicts and runtime issues in high-pressure environments