Cloud Platform Engineer

Baseten; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Equity

100% coverage of medical, dental, and视

Flexible PTO including Winter Break

Job summary

Baseten is hiring a Cloud Platform Engineer to design and build scalable infrastructure that supports machine learning model deployment and operation. You will collaborate with users across teams, turning requirements into robust, reliable systems.

You will own projects end-to-end, mentor teammates, and advocate for best practices in reliability, performance, and automation, while continuously learning about ML workloads and tooling.

Qualifications

• Bachelor's, Master's, or Ph.D. in CS, 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, CircleCI, Jenkins).
• 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.

Responsibilities

• Build and maintain scalable infrastructure to support deployment and operation of ML 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.
• Collaborate with cross-functional teams to translate requirements into technical solutions.
• Mentor junior team members and share knowledge within the organization.
• Navigate ambiguity and exercise good judgment on tradeoffs and tools.
• Demonstrate pride, ownership, and accountability for your work.

Skills

Kubernetes

End-to-end ownership

Infrastructure design

Observability tools

Education

Bachelor's/Master's/PhD in CS/Engineering/Math

Tools

Terraform

CloudFormation

Pulumi

GitHub Actions

GitLab CI

CircleCI

Jenkins

Prometheus

ELK stack

Grafana

OpenTelemetry

Job description

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting‑edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE

As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents. We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten.

EXAMPLE INITIATIVES

• Multi-cloud capacity management
• Inference on B200 GPUs
• Multi-node inference
• Fractional H100 GPUs for efficient model serving

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).
• 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.

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 (our offices)