Senior DevOps Engineer

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 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 services

What We Offer

• A chance to build the core execution engine for a new category of autonomous data platform
• High ownership from day one: real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
• Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship
• Top-of-market compensation and meaningful equity

Ready to own the platform that lets an autonomous execution engine run in production? Hit Apply.

Requirements:

What You’ll 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 high-growth production environment: 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 environment