Baseten

Site Reliability Engineer

San Francisco

Sponsorship not specifiedDetected 72 days ago

KubernetesTerraformHelmPrometheusGrafanaSite Reliability EngineeringMachine LearningSparkIncident ResponseResearchArgo CD

About the role

As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform.
You'll 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.
You'll work on projects like these as part of the SRE team:

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.
Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define.
We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-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.
You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale - and that empower the broader organization to operate confidently.

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 http://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.
Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus).
Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines.
Observability-as-code experience is a plus.

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
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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.
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.

learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company.
At Baseten, we are committed to fostering a diverse and inclusive workplace.

This listing is sourced directly from Baseten's careers page and normalized into a canonical job model.