About the roleInfiniteChoice is building its next-generation platform on Google Cloud. As our Staff Platform Engineer, you'll be the senior technical owner of that infrastructure: the GKE clusters, the Terraform that defines them, and the path traffic takes from the edge to our services. You'll also build what comes next: a self-service platform that lets our developers get infrastructure without filing a ticket, and the practices that keep our cloud footprint efficient as we grow
You'll report to the Director of Engineering, CloudOps, on a small team. Staff here means you set the technical direction for our infrastructure and raise the level of the engineers around you, while still writing a good share of the code yourself.
Your first six months- Take ownership of our GKE estate and Terraform, and get us to where every production infrastructure change goes through code review and Atlantis.
- Bring structure to a GCP organization that grew quickly: project layout, group-based IAM, and cost visibility.
- Ship the first self-service workflows for our developers, starting with the request types that fill most of our ticket queue today.
- Turn our disaster recovery design into something we test on a schedule.
- Participate in the on-call rotation and drive continuous improvements to incident response, operational readiness, and post-incident follow-through.
What you'll do- Design and run the platform our product teams deploy onto, including templates, CI/CD, and GKE Gateway API routing, so teams can ship without filing a ticket with us.
- Define SLOs with the teams that own each service, and use them to decide where reliability work goes.
- Make architecture decisions for our infrastructure and write them up as ADRs others can review.
- Review infrastructure changes across engineering and mentor the engineers making them.
- Plan capacity for clusters, databases, and caches, find and remove waste, and keep GCP spend in line with traffic as we grow.
What You Must Have- 10+ years of experience in platform, SRE or infrastructure engineering, including ownership of production systems serving millions of requests a day.
- Deep hands-on experience running Kubernetes in production, ideally GKE.
- Strong Terraform experience, including structuring modules and state across many environments and GCP projects.
- Solid GCP experience across networking, IAM, and core services.
- You've led a migration of production workloads between platforms without downtime.
- You write production code in Go, Python, or a similar language, and you can read application code when debugging.
- You explain technical tradeoffs clearly in writing, to engineers and to non-engineers.
- Bachelor's degree in Computer Science, Engineering, or equivalent professional experience
- Industry certifications (Google Cloud Professional, SRE or related certifications preferred)
- Practical experience with AI coding tools, and a view on where they help in infrastructure work and where they don't
Nice to have- Cloudflare, including WAF and bot management
- Redis at scale, including clustered deployments
- OpenTelemetry and Prometheus
- Building or running an on-call and incident program
What we offer- Full autonomy to define processes, select technologies, and establish best practices
- Direct impact on platform reliability serving millions of users
- Opportunity to create lasting engineering culture and operational excellence
- Remote-first culture with in-person meeting in Dallas, TX on need basis
- Collaborative environment with smart, passionate engineers and cross-functional teams
- Access to cutting-edge technologies and AI-driven development tools
- Competitive compensation, equity participation, and comprehensive benefits
