Manage a team of cloud platform engineers building scalable, reliable infrastructure. Drive technical decisions, coach engineers, and partner cross-functionally on ML infrastructure priorities.
165k – 330k
Hybrid7+ YOEEngineering Management
About the role
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
Establish standards and best practices for reliability, performance, and operational excellence; ensure the team owns projects end-to-end
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
Serve as the escalation point for major incidents; drive resolution with urgency and ensure the team learns systematically
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
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
Paid parental leave
Fertility and family-building stipend through Carrot
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