Member of Technical Staff, DevOps
Reactor · San Francisco · Europe
InfrastructureonsiteCompetitive salary and meaningful early equity
At a glance
Highlights
- Own reliability and delivery for real-time world model inference platform.
- Scale production across multiple clouds and regions as platform grows.
- Improve streaming reliability, cold starts, and session latency at scale.
What they offer
- Competitive salary and meaningful early equity
- Visa sponsorship and relocation support
- Generous health, dental, and vision coverage
Ideal candidate
SRE who has owned production and on-call and cares about safe, automated delivery. You write tooling to make systems observable and on-call painless, and thrive debugging complex distributed issues.
Requirements
- Production Kubernetes operations and on-call experience, including debugging scheduling, OOM kills, and pod evictions
- Built and maintained CI/CD pipelines for monorepos
- GitOps experience with reconciliation, drift detection, and image automation
- Infrastructure-as-code fluency with Terraform across multiple environments and clouds
- Observability expertise: SLOs, low-noise alerting, and tracing for cross-service latency
- Secret management patterns including KMS, external secrets, rotation, and zero-trust
- Incident response: triage, postmortems, and runbooks
- Coding proficiency in Go, Python, or Bash for tooling and automation
- visa sponsorship
- Visa sponsorship and relocation support
Lab profile
About Reactor
Inference platform for real-time world models powering media, physical AI, and omni-directional applications.
What they build
- Inference platform for real-time world models
- Catalog of 15+ world models including LingBot World 2, LTX 2.5 Realtime, HappyOyster
Known for
- Largest and fastest world model catalog
- Real-time optimized inference
- Works with Alibaba, Amazon, and NVIDIA
Key facts
- Raised $59M led by Lightspeed
- Backed by Amplify Partners, WndrCo, and NVentures
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