Software Engineer, Cloud Platform
About The Position
Join Baseten’s Cloud Platform Engineering team to own the Kubernetes fleet running production AI workloads. You will turn manual cluster operations into reliable, repeatable systems, including bringing new cloud providers online and safely rolling out configuration and upgrades across the fleet. This is a hands-on software engineering role with ownership from design through production. You will build APIs, controllers, and automation to make infrastructure easier to operate, reduce configuration drift, and bring GPU capacity online to support the growth of the AI inference business. Example initiatives include unifying Kubernetes platform configuration under GitOps, automating cluster onboarding and provisioning with reusable infrastructure templates and recoverable workflows, and building controllers and rollout mechanisms for fleet upgrades and workload-aware maintenance.
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 Haves
- 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.
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.
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; 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 learning and networking opportunities.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
