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Site Reliability Engineer
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Baseten·San Francisco·11 мая

Site Reliability Engineer

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Наша компания

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 $1.5B 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.

Чем предстоит заниматься

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 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
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
EXAMPLE INITIATIVES
You'll work on projects like these as part of the SRE team
Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services
Building AI-assisted tooling for incident triage and response
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

Наши требования

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

Мы предлагаем

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
B
Baseten
San Francisco

ГрейдMiddle
ЗанятостьПолная занятость
РегионСША
ФорматОфис
ИсточникСкрыто
Опубликовано11 мая
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