B Software Engineer, Cloud Platform Baseten · San Francisco 45 min ago

Urbano DX; San Francisco (CA); Hybrid; USD 165,000 - 330,000; Full time

Benefits offered by this job

Competitive compensation

Equity

US health coverage

Winter Break PTO

Parental leave

401(k) plan

Learning opportunities

Job summary

Baseten powers mission-critical AI inference workloads. Join us to own the Kubernetes fleet running production AI workloads, turning manual cluster operations into reliable, repeatable systems and bringing new cloud providers online with safe rollout strategies.

You will design APIs, controllers, and automation to simplify infrastructure, enable GPU capacity, and accelerate AI product growth across teams. This hands-on role combines design and production ownership with cross-team collaboration.

Qualifications

• Production infrastructure software or distributed systems experience.
• Go or similar systems language with ability to contribute to a Go codebase.
• Deep Kubernetes infrastructure experience with controllers/operators and reconciliation.
• Infrastructure as code and GitOps tools such as Terraform and Flux/Argo CD.
• Strong Linux, networking, and debugging fundamentals; reliability is key.

Responsibilities

• Design, build, and operate services, APIs, and Kubernetes controllers that automate cluster lifecycle management.
• Develop reusable Terraform modules and GitOps configurations across cloud and GPU providers.
• Make infrastructure changes safe through validation, staged rollouts, clear ownership, and tested recovery paths.
• Build observability into automation so engineers can understand progress, diagnose failures, and retry safely.
• Partner with infra and workload teams to define platform interfaces and drive projects from design to adoption.

Skills

Kubernetes

Terraform

Linux

Spark

Machine learning

Job description

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

Join Cloud Platform Engineering to own the Kubernetes fleet that runs our production AI workloads. You’ll turn manual cluster operations into reliable, repeatable systems—from bringing new cloud providers online to rolling out configuration and upgrades safely across the entire fleet.

This is a hands-on software engineering role with ownership from design through production. You’ll build APIs, controllers, and automation that make infrastructure easier to operate, reduce configuration drift, and bring GPU capacity online seamlessly to power the AI inference business growth.

EXAMPLE INITIATIVES

• Unify Kubernetes platform configuration under GitOps, replacing duplicated cluster manifests with shared configuration and explicit provider overrides.
• Automate cluster onboarding and provisioning with reusable infrastructure templates, readiness checks, and recoverable workflows.
• Build controllers and rollout mechanisms for fleet upgrades and workload-aware maintenance.

RESPONSIBILITIES

• Design, build, and operate services, APIs, and Kubernetes controllers that automate cluster lifecycle management.
• Develop reusable Terraform modules and GitOps configuration that work across cloud and GPU infrastructure providers.
• Make infrastructure changes safe through validation, staged rollouts, clear ownership boundaries, and tested recovery paths.
• Build observability into automation so engineers can understand progress, diagnose failures, and retry operations safely.
• Partner with infrastructure and workload teams to define platform interfaces, resolve operational pain points, and take projects from design through adoption.

REQUIREMENTS

• Experience building and owning production infrastructure software or distributed systems.
• Strong programming skills in Go or another systems or backend language, with the ability to contribute to a Go codebase.
• Deep experience with Kubernetes infrastructure, including developing controllers or operators and understanding reconciliation, custom resources, and failure handling.
• Practical experience with infrastructure as code and GitOps tools such as Terraform and Flux or Argo CD.
• Strong Linux, networking, and debugging fundamentals, with sound judgment about reliability and the impact of production changes.
• Ability to turn ambiguous operational problems into maintainable software and communicate design tradeoffs clearly.

NICE TO HAVE

• Experience managing Kubernetes fleets across multiple clouds or GPU infrastructure providers.
• Contributions to Kubernetes or infrastructure open source projects, or experience with workflow orchestration and progressive delivery.

BENEFITS

• Competitive compensation, including meaningful equity
• (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
• Paid parental leave
• Fertility and family-building stipend through Carrot
• (U.S. only) Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Job Details

• Work type Hybrid
• Salary 165k to 330k USD a year
• Employment Full-time

Skills and Tools

• Skills and tools Spark, Kubernetes, Terraform, Linux, Machine learning

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).