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Member of Technical Staff, DevOps

Reactor· Engineering
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San Francisco, CAFull TimePosted 5mo ago

About the role

DevOps / SRE engineer to own reliability, delivery, and observability of Reactor's AI platform across Kubernetes clusters, multiple cloud providers and regions. Responsible for CI/CD, GitOps, IaC, observability, incident response, and on-call tooling to ensure production readiness and rapid, safe deployments of models and services.

Responsibilities

  • Own and evolve our CI/CD pipelines: dynamic pipeline generation across a monorepo of Go services, Python model containers, and Helm charts
  • Operate and improve our GitOps deployment lifecycle: Helm releases, Kustomizations, and image automation across multiple clusters
  • Build and maintain our observability stack: distributed tracing, metrics, dashboards, and alerting across all services and GPU workloads
  • Define and track SLOs for core platform services, including session latency, model cold start time, and streaming reliability
  • Run incident response: triage production issues, write postmortems, build runbooks, and drive reliability improvements
  • Manage infrastructure-as-code across multiple cloud providers and regions: plan/apply workflows, state management, drift detection
  • Operate secret management: encrypted secrets, external secret syncing, certificate automation
  • Improve deployment safety: canary rollouts, health checks, startup probes, rollback automation
  • Manage authentication infrastructure: OIDC federation for CI, workload identity for cloud services, cross-cloud credential management
  • Participate in on-call rotation and build the tooling that makes on-call less painful

Qualifications

  • You've run production Kubernetes clusters and been on-call for them. You've debugged node scheduling failures, OOM kills, and mysterious pod evictions at 3am
  • Strong CI/CD experience: you've built and maintained pipelines for monorepos, not just single-service repos
  • GitOps experience: you understand reconciliation loops, drift detection, and why image automation matters
  • Infrastructure-as-code fluency with Terraform or similar across multiple environments and cloud accounts
  • You know observability beyond just "set up dashboards". You've defined SLOs, built alerting that doesn't page on noise, and used traces to debug cross-service latency issues
  • Comfortable with secret management patterns (KMS, encrypted configs, external secret operators). You've thought about credential rotation and zero-trust
  • Incident response experience: you've triaged production outages, written postmortems that actually led to improvements, and built runbooks that other engineers could follow
  • You write code, not just YAML. Proficiency in Go, Python, or Bash for building tooling, automation, and pipeline scripts

Skills

Required:Kubernetes production operationsCI/CD for monoreposGitOpsInfrastructure-as-codeObservabilitySecret managementIncident responseGo/Python/Bash

Benefits

  • Competitive salary and meaningful early equity
  • Visa sponsorship and relocation support
  • Generous health, dental, and vision coverage
Last updated Oct 15, 2026. Interested? Apply on the company site.

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