Staff and Senior Software Engineer (Cloud Inference)

Anthropic, a leading AI safety and research company, as a Staff or Senior Software Engineer on the Cloud Inference team. In this role, you will design and build backend services and infrastructure that serve our AI model, Claude, across multiple cloud service providers. You will work cross-functionally with internal teams and external partners, contribute to capacity planning and workload routing strategies, and analyze observability data to identify performance bottlenecks and cost anomalies. This position offers a comprehensive benefits package, including health insurance, paid parental leave, flexible paid time off, and competitive salary and equity packages.

Design, build, and own backend services and infrastructure that serve Claude across multiple cloud service providers (CSPs), accounting for differences in compute hardware, networking, APIs, and operational models.

About Anthropic

• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
• Proficiency in Python or Rust

Responsibilities

• Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps.
• Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions.
• Thrive in cross-functional collaboration with both internal teams and external partners

Requirements

• Have experience working with external partners to align goals and deliver impact
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Are curious about LLM serving; prior inference or ML experience is not required

Preferred

• Solid understanding of multi-region deployments, geographic routing, and global traffic management
• Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
• Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings

Pay

USD 320,000 - 485,000

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