Staff+ Software Engineer, Deployment

Job Application for Staff+ Software Engineer, Deployment at Anthropic

Back to jobs New Staff+ Software Engineer, Deployment Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY

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 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

Experience with software supply chain security, such as signed build provenance

Experience building high-throughput workflow engines or control planes backed by relational databases

Experience building internal developer platforms and leading adoption across many teams

Experience using AI agents in your own engineering work, or building systems that agents operate

Representative projects

Build operator controls for progressive rollouts, including pause and resume that preserve rollout state

Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to

Build cluster-health-aware rollouts that steer around unhealthy clusters

Add a new workload type to the platform, including its rollout, verification, and rollback behavior

Design a deployment control plane that handles sharp bursts of agent-driven traffic

Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $405,000 - $485,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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