Staff+ Software Engineer, Deployment

Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY · Software Engineering - Infrastructure · listed October 28, 2026

The shape of it

Seniority
Staff
Where
Hybrid
Stated pay
$405,000 – $485,000 USD
Requirements listed
4
Length
1,209 words

In the posting’s own words

We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production.

What it asks for · 4

  • Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java
  • Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams
  • Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP
  • Strong written and verbal communication skills

Also a plus

  • Experience building deployment, release, or change management systems at large scale
  • Experience with production on-call and incident response
  • Experience with Rust in production
  • Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts
  • Deep knowledge of Kubernetes, including controllers and operators
  • Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking
  • Experience building feature flag, experimentation, or dynamic configuration systems
  • Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage

What the job covers

  • Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations
  • Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves
  • Design APIs and abstractions that work equally well for engineers and for AI agents
  • Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms
  • Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback
  • Build infrastructure-as-code workflows that many teams rely on for safe, routine changes
  • Scale artifact distribution so code and configuration reach machines quickly and efficiently
  • Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes
  • Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform
  • Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring

Tools and skills named

Cloud & infra
  • Kubernetes3×
  • AWS
  • Distributed systems
  • GCP
  • Serverless
  • Terraform
Languages
  • Rust2×
  • C++
  • Go
  • Java
Security & compliance
  • Security2×
Ways of working
  • On-call2×
Data
  • Experimentation
Operations & finance
  • Supply chain

Words the posting leans on

  • experience13×
  • systems10×
  • build8×
  • change8×
  • rollout8×
  • design7×
  • platform7×
  • production7×
  • configuration6×
  • deployment5×
  • artifact4×
  • control4×
  • end4×
  • experience building4×
  • feature4×
  • flag4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched October 30, 2026 and last changed by Anthropic on October 28, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.