Engineering Manager, Cloud Platform

Baseten

$140K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Experience managing engineers in cloud infrastructure or platform engineering roles (not managing managers).
  • Hands-on expertise with Kubernetes for engaging in architectural discussions and code reviews.
  • Solid background in building and maintaining scalable production infrastructure.
  • Familiarity with infrastructure-as-code and CI/CD tools like Terraform, GitHub Actions, and Jenkins.
  • Proven track record in driving projects end-to-end and coaching teams for execution.
  • Strong communication skills to influence across teams without direct authority.
  • Experience in recruiting and developing engineering talent.

Responsibilities

  • Recruit and develop a high-performing team of cloud platform engineers through coaching and feedback.
  • Set and uphold performance expectations while fostering an environment for optimal engineer productivity.
  • Cultivate a culture of ownership and continuous improvement within the team.
  • Drive technical decisions and roadmap execution through design reviews and architectural discussions.
  • Establish best practices for infrastructure reliability and performance, ensuring end-to-end project ownership.
  • Encourage sound judgment in tooling and architectural complexity choices.
  • Align infrastructure priorities with business goals by collaborating with product and engineering teams.
  • Serve as the escalation point for major incidents, ensuring effective resolution and feedback loops.

Benefits

  • 100% coverage of medical, dental, and vision insurance for employees and dependents.
  • Flexible PTO policy with a company-wide Winter Break during the holiday season.
  • Paid parental leave to support work-life balance.
  • Fertility and family-building stipend available through Carrot.
  • Company-facilitated 401(k) plan for retirement savings.
  • Opportunities for exposure to a variety of ML startups for learning and networking.
Full Job Description
THE ROLE

As the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient - from automated deployments and monitoring to performance optimization and incident response.

You are a people-first leader with a strong cloud infrastructure background. You set a high bar for reliability and operational excellence, engage credibly in technical discussions and code reviews, and know how to build a culture of ownership and accountability. You'll spend most of your time close to the work: unblocking your team, shaping technical direction on day-to-day decisions, and developing your engineers. At Baseten, we work closely with our users to understand their struggles operationalizing ML - you'll keep your team connected to that mission and translate user learnings into better infrastructure.

RESPONSIBILITIES
  • 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
  • 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.


NICE TO HAVE
  • Experience with OSS observability tooling (Prometheus, ELK stack, Grafana, OpenTelemetry).
  • Background in multi-cloud environments or GPU infrastructure.
  • Experience building and managing on-call rotations and incident response processes.


BENEFITS
  • 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.

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.

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