Senior Full Stack Engineer w/ AI Tooling (RQ96)

• Senior Full Stack Engineer w/ AI Tooling
• Candidate must be local, willing to interview onsite & work onsite 3-days/week

• Overview:

• 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.

• Key Responsibilities:

• + •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 •

Required Qualifications:

• + 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 teamsManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment.

It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.