Build scalable Kubernetes infrastructure at Baseten for mission-critical AI inference, automating deployments and strengthening reliability. Work closely with users operationalizing machine learning.
As a Cloud Platform Engineer, you will design and maintain systems supporting machine learning model deployment and operation. You will establish reliability standards, optimize performance, and manage incidents. The work includes infrastructure as code, CI/CD automation, project ownership, and cross-functional technical collaboration.
Key Responsibilities: Build scalable infrastructure for machine learning model deployment
Automate processes across CI/CD pipelines
Establish infrastructure reliability and performance standards
Own projects from specification through end-to-end execution
Translate requirements into technical solutions with cross-functional teams
Requirements: Extensive Kubernetes experience
Experience building and maintaining scalable infrastructure
Infrastructure-as-code experience with Terraform, CloudFormation, or Pulumi
CI/CD experience with GitHub Actions, GitLab CI, CircleCI, or Jenkins
Bachelor's, Master's, or Ph.D. degree in a related field
Bring Kubernetes, infrastructure-as-code, and CI/CD expertise to Baseten's platform for reliable machine learning inference.