Staff Platform Engineer

ADP, Inc.; Dallas (TX); Remote; USD 170,000 - 230,000; Full time

Job summary

InfiniteChoice is seeking a Staff Platform Engineer to own and advance its production infrastructure on Google Cloud. You will lead the GKE estate, manage Terraform across projects, and build a self-service platform so developers deploy infrastructure without tickets.

You will shape technical direction, participate in on-call rotations, and drive improvements in incident response, reliability, and cost visibility.

Qualifications

• 10+ years of experience in platform, SRE or infrastructure engineering.
• Hands-on experience running Kubernetes in production (preferably GKE).
• Strong Terraform experience, including structuring modules and state across environments.
• Solid GCP experience across networking, IAM, and core services.
• Proficient in production Go or Python code and debugging.
• Bachelor's degree in CS/Engineering or equivalent.
• Industry Google Cloud SRE certs preferred.
• Practical experience with AI coding tools and infrastructure.

Responsibilities

• Design and run the platform our product teams deploy onto, including templates, CI/CD, and GKE routing.
• Define SLOs with service owners and prioritize reliability work accordingly.
• Draft architecture decisions as ADRs for team review.
• Review infrastructure changes and mentor engineers implementing them.
• Plan capacity for clusters/databases/caches and control GCP spend.

Skills

Kubernetes

Terraform

GKE

Go

Python

SRE

Cloud architecture

Education

Bachelor's degree in Computer Science or Engineering

Tools

GCP

Atlantis

IAM

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Austin, TX, US

2 days ago Requisition ID: 1017

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.

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

About InfiniteChoice

InfiniteChoice was founded to help people find the experiences they want simply and effortlessly. We leverage a new type of business model and platform that uniquely applies automation and technology to solve the challenges of scale and complexity in experience discovery.

Existing business and marketing technologies can no longer handle the demands of connecting millions of consumers with vast inventories of experiences across a fragmented, global marketplace of people, partners, and providers.

Our mission is to disrupt this status quo by creating seamless connections between consumers and experiences. We're just at the beginning of this journey, but our approach is working: we've helped over 10 Million+ customers, generating over $7 Billion in revenue for our brands and partners.