Site Reliability Engineer

About Baseten

Baseten powers mission‑critical inference for the world's most dynamic AI companies, such as Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable these companies to bring cutting‑edge models into production. We have recently raised $300 M in Series E funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE

As a Site Reliability Engineer at Baseten, you will define and codify the gold standards of day‑2 operations for our ML infrastructure platform. You will envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale and empower the broader organization to operate confidently.

You will work closely with engineering, forward‑deployed, and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company.

EXAMPLE INITIATIVES

• Improve Baseten SRE practices by instrumenting SLOs and SLIs, improving alerting and observability for all services.
• Build AI‑assisted tooling for incident triage and response.

Responsibilities

• Own the reliability of Baseten’s multi‑cloud Kubernetes infrastructure, including incident response, post‑mortems, and remediation tracking.
• Build and maintain observability infrastructure—metrics, logging, dashboards, and alerting—as code.
• Author, validate, and improve runbooks for recurring failure patterns, ensuring they are structured for low‑context, safe execution.
• Identify high‑frequency failure patterns and convert them into automated mitigations or self‑healing automations.
• Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management.
• Define and instrument SLOs and SLIs across customer workloads and internal services.
• Navigate ambiguity, make principled trade‑offs, and avoid unnecessary complexity in the systems and processes you build.

Requirements

• Extensive hands‑on experience with Kubernetes (multi‑cloud experience across EKS, GKE, or similar is a strong plus).
• Experience building and maintaining scalable infrastructure.
• Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability‑as‑code experience is a plus.
• Experience with infrastructure‑as‑code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD).
• Experience writing and improving runbooks, leading incident response, and conducting post‑mortem analysis.
• Comfort working at the intersection of engineering and operations—you write code, but you also think deeply about process, escalation paths, and operational leverage.
• Familiarity with incident management platforms (incident.io or similar) is a plus.
• No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well.

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 are closed from Christmas Eve to New Year’s Day).
• Paid parental leave.
• Fertility and family‑building stipend through Carrot.
• Company‑facilitated 401(k).
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply Now

Embark on a rewarding journey 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 (for example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Compensation range: $135 K – $285 K