10+ years in platform, SRE, or infrastructure engineering with production system ownership.
Deep hands-on experience with Kubernetes, preferably GKE.
Strong Terraform skills, including module structuring across environments.
Solid GCP knowledge in networking, IAM, and core services.
Experience leading production workload migrations without downtime.
Proficient in production coding with Go, Python, or similar languages.
Ability to communicate technical tradeoffs clearly to diverse audiences.
Bachelor's degree in Computer Science, Engineering, or equivalent experience.
Industry certifications (Google Cloud Professional, SRE, etc.) preferred.
Practical experience with AI coding tools in infrastructure.
Responsibilities
Take ownership of GKE and Terraform, ensuring all changes undergo code review.
Structure GCP organization for project layout, IAM, and cost visibility.
Develop self-service workflows for developers to reduce ticket requests.
Implement and regularly test disaster recovery designs.
Participate in on-call rotation and enhance incident response processes.
Design and manage the platform for product teams, including CI/CD and API routing.
Define SLOs with service teams to prioritize reliability work.
Review infrastructure changes and mentor engineers on best practices.
Plan capacity for clusters and databases, optimizing GCP costs.
Benefits
Full autonomy to define processes and select technologies.
Direct impact on platform reliability for millions of users.
Opportunity to shape engineering culture and operational excellence.
Remote-first culture with occasional in-person meetings in Dallas, TX.
Collaborative environment with passionate engineers and cross-functional teams.
Access to cutting-edge technologies and AI-driven development tools.
Comprehensive benefits package including competitive compensation and equity.
Full Job Description
About the role
InfiniteChoice 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
