Software Engineer - Continuous Delivery
Baseten is hiring a Software Engineer - Continuous Delivery for a remote role open to applicants in United States. It pays $165k-$330k a year and Level rates it ; you can apply on Baseten.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- The listed pay starts close to the typical software engineer posting on Level.
- The posting lists this role as remote.
- Tools and skills the posting cites include Cursor, Clay and Go.
- Level lists 106 other open roles at Baseten.
AI in this role
Design and build continuous deployment platforms and release pipelines for GPU-backed AI inference infrastructure at Baseten.
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, 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).
How we rate this
Software Engineer - Continuous Delivery at Baseten rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $165k
- Typical software engineer job
- $168k
This posting starts close to the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where continuous delivery was part of your work. What did you do?
- Tell me about a project where release engineering was part of your work. What did you do?
- Tell me about a project where infrastructure as code was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, Continuous Delivery, Release Engineering, Infrastructure As Code, and CI/CD. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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