Cloud Platform Engineer

Baseten; New York (NY); On-site; USD 165,000 - 330,000; Full time

Benefits offered by this job

Competitive compensation

100% coverage of medical, dental, and vision insurance

Generous PTO policy

Paid parental leave

Company-facilitated 401(k)

Exposure to ML startups

Job summary

A leading AI infrastructure company is seeking a Site Reliability Engineer to build and maintain scalable systems and processes. You'll ensure our infrastructure is reliable and efficient, managing projects from specification to execution while collaborating with diverse teams. Candidates should hold a degree in a relevant field and possess strong skills in Kubernetes and infrastructure-as-code tools. The role offers competitive compensation and robust benefits, providing an excellent opportunity to grow in the AI field.

Qualifications

• Experience with Kubernetes and building scalable infrastructure.
• Familiarity with infrastructure-as-code tools and CI/CD tooling.
• Ability to own projects end-to-end.
• Open to learning about machine learning.

Responsibilities

• Build and maintain scalable infrastructure for ML models.
• Establish reliability and performance standards.
• Automate processes for CI/CD pipelines.
• Collaborate with teams to translate requirements into solutions.
• Mentor junior members and share knowledge.

Skills

Kubernetes

Infrastructure as Code

CI/CD Tools

Observability tools

Education

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics

Tools

Terraform

GitHub Actions

Jenkins

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 $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform that engineers turn to ship AI products.

The Role

As a Site Reliability 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
• Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
• Paid parental leave
• Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply Now

To embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Compensation Range: $165K - $330K