Lead a team of cloud platform engineers to build scalable and reliable infrastructure for AI products at Baseten.
Posted by employer 4 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 21 hours ago
Skills & Technologies
Role intensity
20% coding — mostly leadership/strategy
AI in the day-to-day
We work closely with users to understand their struggles operationalizing ML and translate learnings into better infrastructure.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Engineering Manager for Baseten's Cloud Platform team oversees a group of engineers dedicated to developing scalable and reliable infrastructure systems. This role requires a strong background in cloud technologies, particularly Kubernetes, along with experience in managing teams and driving technical decisions. Ideal candidates are those with a hands-on approach to leadership and a commitment to fostering a culture of accountability and continuous improvement. Baseten's rapid growth and focus on AI applications provide a dynamic environment for innovation and collaboration.
Joblaze insights
Quick facts
From the original posting
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
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Standard company text repeated across baseten's postings is omitted here.