We are 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 we ships, scales, and stays up - the delivery pipelines, the Kubernetes infrastructure, and the reliability of systems enterprise customers depend on around the clock.
Do* Architect and own GitOps-based delivery - ArgoCD, Helm, Terraform, GitHub Actions - so the engine ships to production safely, many times a day* Build and operate the Kubernetes platform, including on-demand environments spun up per pull request and torn down automatically* Design deployment safety into the platform: canary analysis, blue/green rollouts, automated rollback, and an observability stack (Prometheus, Grafana, OpenTelemetry) that surfaces failure first* Partner closely with backend and data engineers to make production infrastructure secure, reproducible, and cost-aware across AWS accounts and enterprise deployments* Drive reliability end to end: define SLOs, own incident response, and raise the operational bar for mission-critical servicesWhat We Offer:
Own the platform behind a new category of autonomous cloud infrastructure High ownership from day one: real architectural influence, direct exposure to founders, and responsibility for mission-critical systems A small, technical, high-velocity team that values curiosity, speed, rigor, and engineering craftsmanship Top-of-market compensation and meaningful equityReady to own the platform that lets an autonomous execution engine run in production? Hit Apply.Requirements: What Youll Bring: 6+ years in DevOps, Platform, or Infrastructure Engineering, including ownership of production environments for a real product at scale* Deep hands-on experience with Kubernetes, Helm, and Terraform, with GitOps (ArgoCD or equivalent) as your default way to ship* Strong production experience on AWS - EKS, IAM, VPC networking, and managed services such as Lambda, S3, DynamoDB, or Kinesis - plus scripting in Python, Go, or Bash* Real depth in observability and operations: metrics, tracing, log aggregation, alerting, and SLOs you defined and defended* A high-agency, engineering-first mindset: you enjoy ambiguous, high-leverage problems and take responsibility for reliability, performance, and security. Nice to Have:
Experience building ephemeral environments with Crossplane, Terraform, or a home-grown control plane Experience operating data and streaming infrastructure at scale, such as Kafka, Spark, EMR, MongoDB Atlas, or Snowflake* Familiarity with security and compliance in a fast-moving startup: SOC 2, SSO/MFA, secret scanning, IaC policy enforcement, and cloud cost optimization* Experience in an elite IDF technology unit or another high-performance engineering environmentThis position is open to all candidates.
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