Member of Technical Staff, DevOps

Reactor; San Francisco (CA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Competitive salary and early equity

Visa sponsorship

Generous health, dental, and vision coverage

Job summary

Reactor is looking for a DevOps/SRE engineer in San Francisco to enhance the reliability and observability of their AI platform. The position requires running production Kubernetes clusters, strong CI/CD pipeline experience, and a solid understanding of GitOps and infrastructure as code. Successful candidates will triage production issues, manage secret infrastructure, and define SLOs. Benefits include a competitive salary, equity, and health coverage, with opportunities for relocation support.

Qualifications

• Proven experience in running production Kubernetes clusters.
• Strong background in CI/CD practices and tools.
• Expert in GitOps and reconciliations.
• Fluency in Infrastructure as Code with Terraform.
• Experience in setting up observability and defining SLOs.
• Proficiency in secret management practices.
• Experience in incident response with effective postmortems.
• Ability to write scripts in Go, Python, or Bash.

Responsibilities

• Own and evolve CI/CD pipelines and deployment lifecycles.
• Maintain observability stack for all services.
• Define SLOs and manage incident response.
• Handle infrastructure as code across different cloud providers.
• Operate secret management and ensure deployment safety.

Skills

Kubernetes management

CI/CD pipeline development

GitOps practices

Infrastructure as Code

Observability and monitoring

Incident response

Coding proficiency in Go, Python, or Bash

Secret management

Tools

Terraform

Helm

Job description

Description

We're looking for a DevOps / SRE engineer to own the reliability, delivery, and observability of our AI platform. You'll be the person who ensures models get from a developer's branch to production without anyone losing sleep — and when something does go wrong at 2am, you'll be the one who knows where to look.

Department: Engineering

Location: San Francisco

We run production across multiple Kubernetes clusters, cloud providers, and regions. Our deployment pipeline is fully automated through CI/CD and GitOps, our infrastructure is managed as code, and our observability stack gives us full visibility across every service and GPU workload. This role is about making all of that faster, more reliable, and easier to operate as we scale.

What You'll Do

• 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

What We're Looking For

• 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

Nice to Have

• Experience with GPU workloads on Kubernetes: device plugins, GPU-aware scheduling, GPU monitoring
• Multi-cloud operations beyond a single provider
• Real-time or streaming workloads: low-latency systems where p99 matters more than average
• Experience with Helm chart authoring and managing complex value layering across environments
• Familiarity with real-time media or relay infrastructure
• FinOps experience: GPU cost optimization, spot/preemptible instance management

What We're Not Looking For

• Engineers who treat infrastructure-as-code as "click around in the console and import later"
• SREs who've only monitored systems but never built the deployment pipelines that ship to them
• Candidates whose CI/CD experience is limited to GitHub Actions for a single-service repo
• People who write alerts that fire every day and then get ignored

Logistics

We are based in-person in San Francisco. We are also hiring for this role in Europe for on-call coverage and timezone distribution.

Benefits

• Competitive salary and meaningful early equity
• Visa sponsorship and relocation support
• Generous health, dental, and vision coverage