Software Engineer - Continuous Delivery

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 https://www.baseten.co/blog/announcing-our-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

Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As an early member of Baseten's Platform Team, you will be pivotal in building internal infrastructure to support our engineering organization. You will own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across Baseten to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous.

If you are passionate about elegant solutions—like streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries—you'll thrive at Baseten.

RESPONSIBILITIES

- Design and build continuous deployment infrastructure that safely rolls out changes across dozens of 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 operational workflows.

- Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale.

- 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 to detect regressions and trigger safe rollbacks.

- Interest in building systems that support agent-assisted or autonomous deployment workflows using modern AI tooling.

REQUIREMENTS

- Strong-level proficiency in Go and/or Python.

- Have worked with Kubernetes-based deployment systems at scale

- Have experience building or operating continuous deployment platforms

- Are 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. Bonus points if you have personally developed open-source developer tools.

- Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

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).