Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding, we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention. Our platform runs in production at global enterprise customers, including Fortune 500 companies, delivering mission-critical resilience and sub-second optimization.We are looking for a DevOps Engineer to build and own the platform our autonomous execution engine runs on. You will own how Zipher ships, scales, and stays up — the delivery pipelines, the Kubernetes infrastructure, and the reliability of systems enterprise customers depend on.What You’ll DoArchitect and own GitOps-based delivery — ArgoCD, Helm, Terraform, GitHub Actions — so the engine ships to production safely, many times a dayBuild and operate the Kubernetes platform, including on-demand environments spun up per pull request and torn down automaticallyDesign deployment safety into the platform: canary analysis, blue/green rollouts, automated rollback, and an observability stack (Prometheus, Grafana, OpenTelemetry) that surfaces failure firstPartner closely with backend and data engineers to make production infrastructure secure, reproducible, and cost-aware across AWS accounts and enterprise deploymentsDrive reliability end to end: define SLOs, own incident response, and raise the operational bar for mission-critical servicesWhat We OfferA chance to build the core execution engine for a new category of autonomous data platformHigh ownership from day one: real architectural influence, direct exposure to founders, and responsibility for mission-critical systemsTechnical, high-velocity team that values curiosity, speed, and engineering craftsmanshipTop-of-market compensation and meaningful equityReady to own the platform that lets an autonomous execution engine run in production? Hit Apply.