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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
