Java Full Stack Developer

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 in

· Build & Maintain a governed catalog (Agents, MCPs, Skills) with behavior, permission, and access controls

· 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 tooling

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 decisions

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

Looking for a strong Senior Full Stack Java Developer (80% backend, 20% frontend) with Gen AI

Strong AWS experience (ECS, Lambda, Fargate, etc…)

AI-Assisted Development Experience (CoPilot, Claude Code, Kiro, etc…)

Experience with AI Agents, Agentic workflows, RAG, LLM, and MCP.

Some Angular or React is nice to have., 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., · 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