405K–485K USD / year
Staff+ Software Engineer, Deployment
DevOpsHybrid — San Francisco, CA, Seattle, WA, New York City, NY
Published on 2026-10-28
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About this role
Lead the design, implementation, and operation of Anthropic’s deployment platform. Build systems for safe, predictable software releases, runtime configuration, feature flags, and artifact distribution across a large fleet.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
The team
Infrastructure organization, deployment platform
Stack
RustGoC++JavaKubernetesAWSGCPArgo CD
What you'll do
- Set technical direction and own major deployment platform components end to end.
- Build progressive rollouts, health-gated promotion, automatic pause, and rollback controls.
- Design APIs and abstractions for engineers and AI agents.
- Extend deployment support to Kubernetes, serverless, and edge workloads.
- Build runtime configuration, feature flag, and infrastructure-as-code workflows.
- Scale distribution of code and configuration across the fleet.
- Partner with Security on verifiable builds, least-privilege access, and auditable changes.
- Participate in on-call and incident response, turning lessons into preventive guardrails.
What we're looking for
- Proficiency in a backend or systems language such as Rust, Go, C++, or Java.
- Experience leading the design, construction, and operation of production distributed systems or infrastructure.
- Experience providing technical direction across teams.
- Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP.
- Strong written and verbal communication skills.
Nice to have
- Experience building large-scale deployment, release, or change management systems.
- Production on-call and incident response experience.
- Production Rust experience.
- Knowledge of progressive delivery, GitOps, Kubernetes controllers, or operators.
- Experience with Terraform or other infrastructure-as-code systems at scale.
- Experience with feature flags, dynamic configuration, artifact distribution, or software supply-chain security.
- Experience building workflow engines, control planes, or internal developer platforms.
- Experience using AI agents in engineering or building systems operated by agents.
Benefits
- Generous vacation and parental leave.
- Flexible working hours.
- Optional equity donation matching.