Staff Multi-Cloud Platform Engineer

About CompaCompa is a venture-backed AI startup revolutionizing the future of compensation.In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams.Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI.Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more.Locations:Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible.The roleAs 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 DoDesign, build, and maintain core infrastructure across cloud, data, and AI/ML systemsOwn and evolve Compa's Kubernetes-based platforms across AWS, GCP, and AzureDrive multi-cloud initiatives including cloud abstraction patterns, cross-cloud identity, networking, data movement, traffic routing, and customer-managed encryption keysDefine platform standards for Kubernetes cluster architecture, workload isolation, tenancy, networking, security, scaling, upgrades, and operational ownershipScale and automate infrastructure services and internal toolingRaise the bar on reliability and observability through SLIs/SLOs, monitoring, and incident responseDesign and improve CI/CD pipelines, deployment workflows, infrastructure automation and paved paths for engineering teamsLead platform efforts that reduce developer toil and improve velocityPartner with leadership on technical direction and roadmapAct as a multiplier, setting standards that help engineers around you level-upWhat We're Looking For8+ years of software engineering experience with a strong emphasis on infrastructure and platform developmentDeep, hands-on experience with managed Kubernetes (EKS, GKE, or AKS) - cluster architecture, networking, scaling, upgrades and production operationsStrong Python skills applied to infrastructure tooling and backend systemsHands-on experience designing and operating production systems across at least two of AWS, GCP, and Azure; this is a must-haveExperience managing infrastructure across cloud boundaries: identity, networking, data, traffic routing, and failoverObservability tooling experience such as Prometheus, Grafana,, OpenTelemetry, Loki or ELK, Jeager, or TempoComfortable with high ownership and ambiguity - you've built things without a playbook beforeNice to haveDevOps and SRE practices: infrastructure as code, CI/CD, incident responseSecurity fundamentals: IAM, secrets management, encryption, least privilegeExposure to MLOpsEarly-stage startup experienceCompensation Range: $200K - $225K