Site Reliability Engineer (SRE)

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.

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, CircleCI, Jenkins).

Nice-to-Haves

• Relevant OSS observability experience (Prometheus, ELK stack, Grafana, OpenTelemetry).
• Open to learning about machine learning (no prior experience required).

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.
• Paid parental leave.
• Company-facilitated 401(k).
• Exposure to a variety of ML startups.