{"schemaVersion":"jobsearcher.job.v1","id":"5bfd730ddc6394094cb6e1e3","url":"https://jobsearcher.com/jobs/5bfd730ddc6394094cb6e1e3","canonicalUrl":"https://jobsearcher.com/jobs/5bfd730ddc6394094cb6e1e3","title":"Staff Multi-Cloud Platform Engineer","description":"About CompaCompa 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 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","company":"Compa","rawCompany":"compa","city":"Somerville","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-06-17T05:39:18.276Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Multi-Cloud Platform Engineer","description":"About CompaCompa 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 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","datePosted":"2026-06-17T05:39:18.276Z","dateModified":"2026-06-17T05:39:18.276Z","hiringOrganization":{"@type":"Organization","name":"Compa","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Somerville","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5bfd730ddc6394094cb6e1e3"},"url":"https://jobsearcher.com/jobs/5bfd730ddc6394094cb6e1e3"}}