Software Engineer - Continuous Delivery

The role

You will build internal infrastructure to support the engineering organization. You will own the deployment platform, release pipelines, and rollout safety mechanisms.

What you will do

• Design and build continuous deployment infrastructure for Kubernetes clusters and global regions.
• Develop systems for progressive delivery including canary releases, staged rollouts, and automated rollback.
• Improve engineering velocity by reducing friction in the release pipeline and automating manual workflows.
• Work with product and infrastructure teams to ensure services are deployable, observable, and resilient.
• Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns.
• Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts.
• Interest in building systems that support agent-assisted or autonomous deployment workflows using modern AI tooling.

Required qualifications

• Strong-level proficiency in Go and/or Python.
• Worked with Kubernetes-based deployment systems at scale.
• Experience building or operating continuous deployment platforms.
• Familiar with GitOps tooling such as ArgoCD or Flux.
• Care deeply about safe production rollouts and minimizing blast radius.
• Excellent developer tool culture with a focus on best practices.
• Excited about building foundational infrastructure and comfortable working independently on ambiguous, high-impact technical challenges.

Nice to have

• Personally developed open-source developer tools.

Benefits

• Competitive compensation, including meaningful equity
• 100% coverage of medical, dental, and vision insurance for employee and dependents (U.S. only)
• Flexible PTO policy including company wide Winter Break
• Paid parental leave
• Fertility and family-building stipend through Carrot
• Company-facilitated 401(k) (U.S. only)
• Exposure to a variety of ML startups

About the company

Baseten powers mission-critical inference for AI companies by uniting applied AI research, flexible infrastructure, and developer tooling. The company recently raised a $1.5B Series F.