Cloud Platform Engineer

Baseten builds infrastructure and developer tools for deploying AI models in production. The Cloud Platform Engineer builds and maintains scalable, reliable infrastructure for machine learning model deployment, automates operational processes, and works with users and cross-functional teams to improve the platform.

Responsibilities:

• Build and maintain scalable infrastructure to support the deployment and operation of machine learning models
• Establish standards and best practices for reliability and performance across the infrastructure
• Automate processes when relevant, particularly for managing CI/CD pipelines
• Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution
• Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions
• Mentor junior team members and contribute to knowledge sharing within the organization
• Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity
• Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates

Requirements:

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field
• Extensive experience with Kubernetes
• Experience in building and maintaining scalable infrastructure
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins)
• Ability to own projects end-to-end, from project specification to execution
• No prior machine learning experience required, but should be open to learning about it
• Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus