TELECOMMUTE Sr// Lead AI Java Engineer

Our client, a leading financial services enterprise, is building a SWAT-style Forward Deployed Engineering (FDE) team to address critical technical challenges across Enterprise Platforms and to pioneer AI-assisted software delivery at scale.

This role is not a traditional backend engineering position. We are seeking hands-on engineers who can rapidly onboard onto unfamiliar systems, deliver end-to-end solutions, and leverage modern AI tooling to accelerate development workflows.

Engineers in this team will act as high-impact problem solvers, moving across teams to resolve production issues, implement new functionality, and improve system reliability - often under time pressure and in highly ambiguous environments.

Responsibilities:

• Rapidly onboard onto unfamiliar codebases, build and run applications locally, and deliver working solutions within tight timelines
• Diagnose and resolve complex production issues across multiple platform teams
• Own end-to-end delivery of features, including:
• implementation
• testing (integration-level)
• CI/CD pipeline integration
• Work across distributed systems and enterprise-scale microservices architectures
• Use AI tools (e.g., Copilot, Claude Code or similar) to:
• generate and iterate on code
• create and refine test cases
• accelerate debugging and development workflows
• Critically evaluate AI-generated output and correct gaps, assumptions, or inaccuracies
• Configure, troubleshoot, and improve build pipelines (Gradle/Maven, CI workflows)
• Collaborate with platform teams to resolve incidents and prevent recurrence
• (Lead role) Coordinate SWAT engagements and drive cross-team resolution efforts

• Strong experience working with enterprise-scale distributed systems
• Proficiency in:
• Java (Kotlin is a plus)
• Spring Boot
• microservices architectures
• Proven ability to take a system from: clone * build * debug * modify * test * integrate into CI pipeline independently
• Hands-on experience with:
• CI/CD pipelines (e.g., GitHub Actions or similar)
• build tooling (Gradle/Maven)
• environment and dependency management
• Strong debugging and root cause analysis skills across:
• build failures
• dependency conflicts
• runtime issues
• Practical experience using AI tools in software development workflows
• Ability to work effectively in:
• high-pressure environments
• high ambiguity with minimal guidance
• Strong communication and collaboration skills

AI & Tooling Fluency (Critical for Success):

• Experience beyond basic autocomplete usage of AI tools, including:
• structured prompt writing
• multi-step AI-assisted workflows
• iterating on generated outputs
• Ability to:
• validate correctness of AI-generated code
• identify gaps or incorrect assumptions
• refine outputs to production-quality level
• Understanding of when AI can accelerate development vs when manual engineering is required

Nice to have:

• Experience with agent-based or agent orchestration tools (e.g., Claude Code, LangGraph, similar)
• Familiarity with advanced developer environments (e.g., tmux, Warp, scripting workflows)
• Experience with Go (Golang)

What This Role Is:

• Forward Deployed Engineering / SWAT problem-solving
• AI-assisted, toolchain-heavy, full-stack delivery mindset
• High autonomy, high impact engineering role