Join Baseten as a Software Engineer to automate Kubernetes operations for AI workloads in a rapidly growing company.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
Must have
Nice to have
Role intensity
70% hands-on coding
AI in the day-to-day
We enable companies operating at the frontier of AI to bring cutting-edge models into production.
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer will manage and enhance the Kubernetes infrastructure that supports Baseten's AI workloads, focusing on automating cluster operations and ensuring reliable system performance. Key skills include proficiency in Go and experience with Kubernetes, Terraform, and GitOps tools, which are essential for developing APIs and automation solutions. This position is suited for engineers with a strong background in production infrastructure and distributed systems. Baseten's rapid growth and focus on AI applications provide a dynamic environment for technical innovation.
Joblaze insights
Quick facts
From the original posting
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
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
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