Cloud Platform Engineer role building and operating scalable, reliable infrastructure for Baseten's ML platform, from automating deployments to managing incidents.
Stack
Responsibilities
- ▹Build and maintain scalable infrastructure supporting the deployment and operation of ML models
- ▹Establish reliability and performance standards across the infrastructure
- ▹Automate processes, particularly for managing CI/CD pipelines
- ▹Own products and projects end-to-end, acting as both engineer and project manager
- ▹Collaborate with cross-functional teams to translate requirements into technical solutions
- ▹Mentor junior team members and contribute to knowledge sharing
Requirements
- ▹Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field
- ▹Extensive experience with Kubernetes
- ▹Experience building and maintaining scalable infrastructure
- ▹Experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi) and CI/CD tooling (GitHub Actions, GitLab CI, CircleCI, Jenkins)
- ▹Ability to own projects end-to-end, from spec to execution
Nice to have
- ▹Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry)
Soft skills
Good judgment navigating tradeoffsMentoring abilityOwnership and pride in the work
What we offer
- ▹Competitive compensation including meaningful equity
- ▹100% coverage of medical, dental and vision insurance for employee and dependents
- ▹Flexible PTO including a company-wide winter break (closed between Christmas Eve and 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 great learning and networking opportunities
About the company
Baseten powers mission-critical inference for some of the world's most dynamic AI companies, including Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By combining applied AI research, flexible infrastructure and seamless developer tooling, they help companies bring cutting-edge models into production. The company is growing fast and recently closed a $1.5B Series F round led by Altimeter Capital, Conviction Partners and Spark Capital.
Education: Egyetemi vagy főiskolai diploma (informatika, mérnöki vagy matematikai terület)
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