Site Reliability Engineer, Baseten
$165-330k
Salary in USD and may vary in further locations. + Equity
ML application builder for data scientists
Open for applications
ML application builder for data scientists
101-200 employees
Open for applications
$165-330k
Salary in USD and may vary in further locations. + Equity
101-200 employees
Company mission
To make machine learning accessible to every organisation.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
As with its mathematical namesake, Baseten focuses on simplifying the complex. The San Francisco startup focuses on simplifying the integration of artificial intelligence into businesses. The tools that Baseten build demolish the need for businesses to hire specialised engineers, utilising the huge strides in artificial intelligence that we’ve seen in the last few years, all without adding workload to businesses.
With serious funding behind it, Baseten has grown its team by three times year-over-year over the last five years. Specifically, it's hired across engineering and marketing, gaining talent from companies such as GitHub, Google, Uber, Amazon, and Palantir. Part of Baseten's focus is on helping companies implement the tools that they have at their disposal, a long-overlooked aspect of machine learning that many businesses have been eager to champion, but are uncertain about how to actually use.
Simplifying the complex world of artificial intelligence for business is no mean feat, but with hundreds of millions in funding behind it and a $5 billion valuation reported in 2026, the company is well on its way to market domination. What's more, the three founders, who met whilst working as engineers at Gumroad, have a lot of experience in navigating this gap in the market.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 7 rounds)
Jun 2026
$1.5bn
SERIES F
Jan 2026
$300m
SERIES E
Total funding: $2.1bn
Company benefits
- Remote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productive
- Regular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better
- Unlimited PTO. We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day
- Full healthcare coverage. Medical, dental and vision insurance for you and your family
- Paid parental leave. 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work
- Company-sponsored 401(k) for you to contribute to
- Learning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen
Company HQ
Union Square, San Francisco, CA
Leadership
Tuhin Srivastava
(Co-Founder)Previously Co-Founder at Shape, Machine Learning at Gumroad and Skulpt.
Amir Haghighat
(Co-Founder)Previously Head of Engineering at Gumroad, Software Engineer at Yelp and Engineering Manager at Clover Health.
Phillip Howes
(Co-Founder)Previously Co-Founder at Shape, Machine Learning Engineer at Gumroad and Research Assistant at the University of Sydney.
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