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Platform Engineer

Reactor· Engineering
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Hybrid (San Francisco, CA)Full TimePosted 1mo ago

About the role

Platform Engineer at Reactor building the inference platform for real-time world models. Responsible for multi-region Kubernetes, GPU orchestration, real-time networking, observability, and end-to-end infrastructure across multiple cloud providers.

Responsibilities

  • Provision and manage multi-region Kubernetes clusters across AWS and GPU cloud providers using infrastructure-as-code.
  • Own the GitOps deployment lifecycle (Helm charts, Kustomize overlays, image automation, and continuous delivery).
  • Manage GPU node infrastructure: scheduling, model weight caching, image prefetching for fast cold starts, and GPU observability.
  • Operate and improve our networking layer: ingress and gateway management, load balancing, media relay infrastructure, and cross-region connectivity.
  • Build and maintain our observability stack: metrics, logs, traces, and profiling across all services and GPU workloads.
  • Maintain infrastructure security: IAM, secret management, certificate automation, and encryption at rest.
  • Own CI/CD pipelines for monorepo builds spanning Go services, Python model containers, and Helm chart releases.
  • Partner with ML engineers on model serving: container optimization, health checks and startup tuning, media pipeline performance, and multi-GPU configuration.

Qualifications

  • You've operated Kubernetes in production at scale, debugging node-level scheduling issues, tuning autoscalers, and managing cluster upgrades.
  • Strong infrastructure-as-code experience (Terraform, Pulumi, or similar) across multiple environments and regions.
  • You've worked with GPU workloads on Kubernetes: device plugins, node taints/tolerations, GPU-aware scheduling, and understanding bin-packing for expensive hardware.
  • Experience with GitOps tooling (FluxCD, ArgoCD, or similar) and Helm chart authoring.
  • Comfortable with Redis or similar in-memory data stores (replication, persistence, pub/sub or streaming patterns).
  • Familiarity with modern observability stacks (Prometheus, Grafana, OpenTelemetry, or equivalent) and knowing when to reach for metrics vs. logs vs. traces.
  • Solid networking fundamentals: load balancers, TLS, DNS, NAT. Real-time or low-latency networking experience is a strong plus.
  • Experience in a startup where you owned infrastructure end-to-end, not just one slice of it.

Skills

Required:Kubernetes in productionInfrastructure as codeGPU workloads on KubernetesGitOps toolingObservability stackNetworking fundamentals
Nice to have:In-memory data stores

Benefits

  • Competitive San Francisco salary and meaningful equity
  • We sponsor visas and support relocation to the US
  • Generous health, dental, and vision coverage
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Reactor

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