Site Reliability Engineer - AI Infra & Observability

Baseten; San Francisco (CA); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Healthcare coverage

Winter Break PTO

Parental leave

Fertility stipend

401(k) plan

ML startup exposure

Job summary

Baseten seeks a Site Reliability Engineer to define gold standards for day 2 operations of our ML infrastructure platform. You will build robust systems, automate mitigations, and expand observability to keep services reliable at scale across multiple clouds.

You will partner with engineering, forward‑deployed teams, and product groups to reduce failure patterns and raise the operational floor for the company. A strong foundation in runbooks and post‑mortem analysis is essential.

Qualifications

• Extensive hands‑on experience with Kubernetes (multi‑cloud experience across EKS, GKE, or similar is a strong plus).
• Experience in 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 doing 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.

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're 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 tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define.

Skills

Kubernetes

Multi-cloud

Observability tooling

Infrastructure-as-code

GitOps workflows

Runbooks

Incident response

Post-mortems

Prometheus

Grafana

Tools

Terraform

Helm

Flux CD

ArgoCD

VictoriaMetrics

Prometheus

Loki

ELK

Grafana

Job description

Baseten seeks a Site Reliability Engineer to define gold standards for day 2 operations of our ML infrastructure platform. You will build robust systems, automate mitigations, and expand observability to keep services reliable at scale across multiple clouds.

You will partner with engineering, forward‑deployed teams, and product groups to reduce failure patterns and raise the operational floor for the company. A strong foundation in runbooks and post‑mortem analysis is essential.