Staff Multi-Cloud Platform Engineer

About Compa

Compa is a venture-backed AI startup revolutionizing the future of compensation! We're bringing AI-forward tools and human-centered engineering to make pay competitive and fair, for all. By offering a premier, live compensation data platform that delivers top-tier intelligence to enterprise teams, we enable the world's largest companies to make smart and fair decisions while staying competitive and compliant. In dynamic job markets during the rise of AI, companies need the best data to stay competitive!

Our force-multiplying team is powered by live data and thoughtful design, and our products have earned the trust of the world’s largest companies: NVIDIA, Stripe, DoorDash, OpenAI, Moderna, Workday, Ulta, Target, and more.

Come build with us!

The role

As a Staff Engineer on the Platform team, you'll own and lead platform engineering across our cloud, data, and AI/ML systems. Multi-cloud is central to what we're building, not a future initiative!

You'll work closely with your teammates and engineering leadership to set direction, and build the foundation that lets every team at Compa move fast, strategically. This is a high-ownership individual contributor role where your decisions shape how the enterprise builds and ships.

What you'll do

• Design, build, and maintain core infrastructure across cloud, data, and AI/ML systems

• Own and evolve Compa's Kubernetes-based platforms across AWS, GCP, and Azure

• Drive multi-cloud initiatives including cloud abstraction patterns, cross-cloud identity, networking, data movement, traffic routing, and customer-managed encryption keys

• Define platform standards for Kubernetes cluster architecture, workload isolation, tenancy, networking, security, scaling, upgrades, and operational ownership

• Scale and automate infrastructure services and internal tooling

• Raise the bar on reliability and observability through SLIs/SLOs, monitoring, and incident response

• Design and improve CI/CD pipelines, deployment workflows, infrastructure automation and paved paths for engineering teams

• Lead platform efforts that reduce developer toil and improve velocity

• Partner with leadership on technical direction and roadmap

• Act as a multiplier, setting standards that help engineers around you level-up

What we're looking for

• 8+ years of software engineering experience with a strong emphasis on infrastructure and platform development

• Deep, hands-on experience with managed Kubernetes (EKS, GKE, or AKS) - cluster architecture, networking, scaling, upgrades and production operations

• Strong Python skills applied to infrastructure tooling and backend systems

• Hands-on experience designing and operating production systems across at least two of AWS, GCP, and Azure; this is a must-have

• Experience managing infrastructure across cloud boundaries: identity, networking, data, traffic routing, and failover

• Observability tooling experience such as Prometheus, Grafana,, OpenTelemetry, Loki or ELK, Jeager, or Tempo

• Comfortable with high ownership and ambiguity - you've built things without a playbook before

• Nice to have

• DevOps and SRE practices: infrastructure as code, CI/CD, incident response

• Security fundamentals: IAM, secrets management, encryption, least privilege

• Exposure to MLOps

• Early-stage startup experience