站点可靠性工程师
Site Reliability Engineer
关于 Baseten
Baseten 为全球最具活力的 AI 公司提供关键任务推理支持，包括 Cursor、Notion、OpenEvidence、Abridge、Clay、Gamma 和 Writer。通过结合应用 AI 研究、灵活的基础设施和无缝的开发者工具，我们使处于 AI 前沿的公司能够将前沿模型投入生产。我们正在快速成长，并最近完成了 1.5 亿美元的 F 轮融资，由 Altimeter Capital、Conviction Partners 和 Spark Capital 领投。加入我们，帮助构建工程师们用来交付 AI 产品的平台。
职位描述
作为 Baseten 的站点可靠性工程师，你将定义并制定我们 ML 基础设施平台的日常运营黄金标准。你将设想并构建稳健的系统、流程、自动化和可观测性工具，确保我们的平台在大规模下保持可靠，并赋能整个组织自信地运行。
你将与工程、前向部署和产品团队紧密合作：从重复的故障模式中学习，将部落知识转化为自动化缓解措施，并提升整个公司的运维基础。
示例项目
作为 SRE 团队的一员，你将参与以下项目：
- 通过引入 SLO 和 SLI 指标，改进 Baseten 的 SRE 实践，提高所有服务的告警和可观测性。
- 构建 AI 辅助的事件分类和响应工具。
职责
- 负责 Baseten 多云 Kubernetes 基础设施的可靠性，包括事件响应、事后分析和修复跟踪。
- 以代码形式构建和维护可观测性基础设施——指标、日志、仪表盘和告警。
- 编写、验证和改进针对常见故障模式的操作手册，确保其结构适合低上下文、安全执行。
- 识别高频故障模式，并将其转化为自动化缓解措施或自愈自动化流程。
- 诊断和解决与延迟、内存行为、GPU 使用率、并发性和模型生命周期管理相关的运行时问题。
- 在客户工作负载和内部服务中定义并实施 SLO 和 SLI。
- 在系统和流程中导航不确定性，做出有原则的权衡，避免不必要的复杂性。
要求
- 在 Kubernetes 上有丰富的实践经验（具备跨 EKS、GKE 或类似平台的多云经验是加分项）
查看英文原文
ABOUT BASETEN
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 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 ship AI products.
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 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.
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.
REQUIREMENTS
- 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 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.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 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 to embark on a rewarding journey in 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 (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).