Software Engineer, Cloud Platform
Baseten · San Francisco, California
- Location
- San Francisco, California, United States
- Workplace
- Remote
- Employment
- Full time
- Level
- Mid level
- Posted
- 14 November
About this role
ABOUT BASETEN
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, 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.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
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).
As published by Baseten. Applications are handled on their site.
Skills this posting mentions
About Baseten
Inference is everything. Baseten is an AI infrastructure platform giving you the tooling, expertise, and hardware needed to bring great AI products to market - fast. Our proprietary Inference Stack utilizes the cutting-edge of performance research combined with highly performant and reliable infrastructure to give you out-of-the-box global availability with 99.99% of uptime.
All 103 openings at BasetenOne click, then it is written
Apply to Baseten with a resume written for this role.
Queue Software Engineer, Cloud Platform and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Baseten’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
Free, no card. Up to 25 applications sent a week, and nothing is sent until you say so.
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