Full Stack Engineer w/ AI Tooling

Builds platforms, tooling, and automation that augments our SDLC - production services, CI/CD integrations, testing infrastructure, and observability - increasingly augmented by AI agents and LLMs. We're looking for a strong full-stack engineer first, who is also fluent with modern AI tooling.

What We're Looking For:

• You are a strong full-stack engineer who ships end-to-end - design, tests, CI/CD pipeline, deploy, and production monitoring - and treats every stage as first-class craft rather than overhead.
• You have clear technical taste, articulate trade-offs well, and know when to reach for an AI agent versus a simpler tool.
• You use modern AI development tools fluently in your daily workflow and have a grounded point of view on where they help and where they don't.
• You iterate based on real usage data and telemetry, not intuition alone., * Platforms & Tooling

• Builds and operates CI/CD pipelines and integrations
• Build "Golden Path" scaffolding with standards, security, and quality gates built ins
• Build & Maintain a governed catalog (Agents, MCPs, Skills) with behavior, permission, and access control
• Build AI agents, LLM-powered tooling, and the frameworks and SDKs that accelerate them
• Build integrations that give humans and AI agents deep context on our systems

• Quality, Testing & Reliability

• Own testing strategy across the platform: unit, integration, contract, and end-to-end
• Apply mutation, property-based, or fuzz testing where it pays off
• Define SLOs for platform services and AI toolin

• Observability & Performance Analytics

• Design metrics, logs, traces, and dashboards for productivity, adoption, and service health
• Build alerting and anomaly detection to catch regressions early
• Analyze telemetry to guide investment decision

• Collaboration & Impact

• Partner across teams to drive adoption of platform tooling and AI-augmented workflows
• Stay current with LLM and platform-engineering trends and coach colleagues on where they apply
• Rapidly prototype solutions to validate use cases
• Communicate insights to stakeholders

• 5-7+ years building and operating production software systems
• Full-stack proficiency across Java, Python, and TypeScript/JavaScript, with frameworks like Spring Boot and Angular
• Deep CI/CD experience - Jenkins, GitLab, or equivalent; comfortable with IaC
• Testing discipline - TDD, test pyramid design, integration and contract testing
• AWS fundamentals - ECS, EC2, Fargate, Lambda, API Gateway
• Observability - metrics, logs, traces; CloudWatch or Splunk
• Daily use of AI coding tools - Claude Code, Kiro, Codex, or equivalent, with a clear point of view on their limits

Nice to Have:

• Building internal developer platforms, SDKs, or CLIs at scale
• LLM orchestration in production - MCP servers, agents, tool calling
• Advanced testing (mutation, property-based) or driving platform adoption across teams