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Cloud Platform Engineer

Baseten· EPD
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Hybrid (San Francisco), Hybrid (Remote), Hybrid (Toronto), Hybrid (New York), Hybrid (Montreal), Hybrid (Seattle)$165k - $330kFull-timePosted 11mo ago

About the role

Cloud Platform Engineer responsible for envisioning and building robust, scalable, and efficient infrastructure to deploy and operate machine learning models, with emphasis on reliability, performance, and user-focused execution.

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.

Qualifications

  • 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).
  • Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus.
  • 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.

Skills

Required:KubernetesInfrastructure as codeCI/CD tooling
Nice to have:Observability/Monitoring

Benefits

  • Competitive compensation, including meaningful equity
  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (offices closed from Christmas Eve to New Year's Day)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • (U.S. only) Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering learning and networking opportunities.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Baseten

Inference is everything

Effortlessly serve optimized open source & custom models on the fastest, most reliable model delivery network.

AICloud InfrastructureDeveloper ToolsInference PlatformMachine LearningModel DeploymentModel Runtimesai-infrastructure-and-development
Company profileWebsite

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