Engineering Manager, Cloud Platform

Baseten

Engineering Manager leading a team of cloud platform engineers at Baseten. Responsible for building reliable and scalable AI infrastructure while fostering team growth and culture.

Posted 5/18/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $165,000 - $330,000 per yearWebsite

Tech Stack

Tools & technologies

CloudJenkinsKubernetesTerraform

About the role

Key responsibilities & impact

Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s.
Set clear performance expectations, hold a high bar, and create an environment where engineers do their best work.
Foster a culture of ownership, accountability, and continuous improvement.
Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions; translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them.
Establish standards and best practices for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from specification through production.
Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity.
Partner with product and engineering teams to align infrastructure work with business priorities; represent your team's progress, capacity, and technical tradeoffs clearly to leadership.
Serve as the escalation point for major incidents; drive resolution with urgency, ensure the team learns systematically, and stay connected to users so those learnings feed back into infrastructure improvements.

Requirements

What you’ll need

Proven experience directly managing engineers in a cloud infrastructure, platform engineering, or SRE context (not managing managers).
Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews.
Strong background building and maintaining scalable, production infrastructure.
Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins).
Demonstrated ability to drive projects end-to-end — from specification to execution — and coach your team to do the same.
Strong written and verbal communication skills; able to influence across teams without direct authority.
Track record of recruiting and growing engineering talent.
Openness to learning about ML infrastructure; prior machine learning experience is not required.

Benefits

Comp & perks

Competitive compensation, including meaningful equity.
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
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

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Hard Skills & Tools

Kubernetesinfrastructure-as-codeTerraformCloudFormationPulumiCI/CDGitHub ActionsGitLab CICircleCIJenkins

Soft Skills

coachingfeedbackcommunicationinfluenceownershipaccountabilitycontinuous improvementproject managementteam developmenttechnical decision-making