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Baseten

Runs AI models for production software

Software Engineer - Cloud Platform

Platform EngineeringPosted on Nov 14
Full-timeHybrid

About the Job

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.

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.

Desired Qualifications

  • 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.

About the Company

Baseten

Runs AI models for production software

Baseten runs AI models for software companies that need fast, reliable responses inside their products, from text generation to speech and image processing. Its Inference Stack combines optimized model runtimes with infrastructure that deploys, serves, and monitors custom or open models in production. Teams package models with its open source Truss tool, while Model APIs let developers test ready-to-use models and Training runs jobs that adapt models to their own data. Customers pay for computing time or tokens processed, with negotiated plans for larger deployments and support needs. Baseten was founded in 2019 and is headquartered in San Francisco.

Company size
201-500
Company stage
Series F
Total funding
$2.1B
Headquarters
San Francisco, CA
Founded
2019

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