Member of Technical Staff, DevOps

Reactor; San Francisco (CA); Presencial; USD 180.000 - 240.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary package

Visa sponsorship and relocation 지원

Generous health, dental, and vision

Descripción de la vacante

Reactor is building the inference platform for real-time world models and operates a Kubernetes-centric production environment in San Francisco. The role focuses on owning CI/CD pipelines, GitOps deployment, observability, and SLOs across multi-cluster Go services and Python containers.

You will drive incident response, improve deployment safety, and manage IaC across clouds, while contributing to on-call tooling and cross-cloud credential management.

Formación

• Experience operating production Kubernetes clusters with on-call rotations.
• Strong CI/CD pipelines experience across monorepos.
• Hands-on GitOps with drift detection and image automation.
• Infrastructure-as-code fluency across multiple clouds/environments.
• Defined SLOs and built cross-service tracing for latency issues.
• Experience with secret management and incident postmortems.

Responsabilidades

• Own and evolve CI/CD pipelines for a monorepo of Go services and Python models.
• Operate and improve GitOps deployment lifecycle across clusters.
• Build and maintain observability with tracing, metrics, dashboards and alerts.
• Define and track SLOs for core platform services.
• Lead incident response, write postmortems and runbooks for reliability.
• Manage IaC across cloud providers and regions; plan/apply workflows.
• Handle secret management and zero-trust credential practices.
• Improve deployment safety with canaries, health checks, and rollbacks.
• Collaborate on authentication infrastructure and cross-cloud credentials.
• Contribute to on-call tooling to reduce pain.

Conocimientos

Production Kubernetes

On-call experience

CI/CD pipelines

GitOps

Observability & SLOs

Incident response

Go/Python/Bash

Herramientas

Kubernetes

Terraform

Helm

Kustomize

Go

Python

Bash

Descripción del empleo

Description

Reactor is building the inference platform for real-time world models. We run the largest and fastest catalog of world models on the market (15+ and growing), including LingBot World 2, LTX 2.5 Realtime, and HappyOyster. Our founders, Alberto Taiuti (CEO) and Bryce Schmidtchen (CTO), met as technical leads on the early Apple Vision Pro team. Alberto went on to co-found Luma AI, now a $4B company. We've raised $59M, led by Lightspeed, with Amplify Partners, WndrCo, and NVIDIA's NVentures participating. Jeffrey Katzenberg, cofounder of Dreamworks Animation, sits on our board of directors.

Department

Engineering

Location

San Francisco

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