Responsibilities
- Architecting Platform solutions within your workstream — designing the approach, documenting tradeoffs, articulating it clearly to clients, and leading your team through implementation
- Building, configuring, and maintaining CI/CD pipelines end-to-end — designing the strategy, choosing the toolchain, and evolving it as the client's delivery maturity grows
- Writing and managing infrastructure as code — Terraform or CloudFormation — including module design, state management, and drift
- Designing, writing, and managing AI Agents and AI tooling at scale or an organization as part of expanding platform capabilities
- Building and deploying cloud-native platform environments — whether that's Kubernetes, managed container services, or other orchestration platforms depending on client environment — getting teams to a place where they can run and operate workloads in production confidently
- Building and implementing observability — metrics, logging, tracing, and alerting that actually tells you something useful when things go wrong
- Building developer platform tooling, automation, and self-service infrastructure that makes engineering teams faster and less dependent on manual work
- Integrating AI tooling into Platform workflows and delivery pipelines where it makes the most impact
- Making day-to-day architecture decisions within your scope and escalating the right ones to the account lead or architect when they have broader implications
- Identifying technical risk early and surfacing it clearly before it becomes a delivery problem
- Generating ideas, failing fast, and demonstrating with POCs
- Lead a small team of engineers — organizing work, breaking down tasks, pairing on hard problems, and keeping the team moving
- Uplift engineers through code review, pairing, and day-to-day technical mentorship
- Mentor junior team members through 1:1s, feedback, and guiding technical growth
- Serve as a technical point of contact for your scope — representing the work clearly to client engineers and project stakeholders
- Keep account leaders and architects up to date on concerns, blockers, and changes
- Adapt quickly to change and shift focus as required to meet customer needs
- Provide feedback on team performance and areas for growth
Requirements
- 7+ years of hands-on Platform engineering experience, with some demonstrated technical leadership
- Must be authorized to work in the United States or Canada without sponsorship
- You can own a CI/CD pipeline end-to-end — designing the strategy, building it, and evolving it as the client's delivery maturity grows
- You've written and managed production IaC at scale — Terraform or CloudFormation — including module design, remote state, and managing infrastructure drift in a live enterprise environment
- You've built and deployed cloud-native platform environments in real production settings — whether that's Kubernetes, managed container services, or other orchestration platforms — and helped engineering teams get to a place where they can run and operate their workloads confidently
- You've made real architecture decisions — designed systems under constraints, documented tradeoffs, and been accountable for what happened when those decisions met production
- You've built meaningful observability for real systems — you know the difference between metrics that tell a story and dashboards nobody looks at, and you can set up alerting that pages on the right things
- You've built platform tooling and developer infrastructure — self-service tooling, automation, or internal infrastructure that made engineering teams faster and less dependent on manual ops work
- You've worked deeply across at least one major cloud provider and have enough breadth across others to be productive quickly in a new environment
- You can hold the technical bar for a small team — reviewing code, catching architecture problems early, and helping engineers grow through the process
- You've integrated AI capabilities into real delivery workflows — whether that's AI-assisted pipeline troubleshooting, intelligent automation, or tooling that makes your team faster — and you can describe what worked and what didn't
- You use AI coding tools like Claude, Cursor, or Windsurf as a daily driver and actively help your team get value from them
- You're familiar enough with LLM capabilities to make smart decisions about where to apply them in a Platform context
Benefits
- unlimited PTO
- funded HSA option
- 401k match
- monthly LiveWell stipend
- quarterly company bonus (10% Annually)
Additional Information
- Travel: 25-50% depending on client needs and remote work otherwise
