Staff+ Software Engineer, Deployment

The posting, as Anthropic wrote it

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production.

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.

If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit.

Key responsibilities

• 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

Minimum qualifications

• 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

Preferred qualifications

• Experience building deployment, release, or change management systems at large scale
• Experience with production on-call and incident response
• Experience w

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n our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.