Senior Site Reliability Engineer - Observability

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

What You’ll Do

• Deploy and operate observability platforms for logging, metrics, and distributed tracing.

• Automate the deployment and operation of these observability systems.

• Set up monitoring for modern AI/HPC clusters.

• Develop platform software to make observability adoptable and improve system reliability across Lambda engineering.

• Lead members of other engineering teams to design and develop solutions for their monitoring challenges.

You

• Have 8+ years of experience in software engineering, with 3+ years in Go

• Have 5+ years of experience in Site Reliability Engineering practices

• Possess proven understanding of Observability tools and practices

• Have experience with application deployment and monitoring using Kubernetes

• Have experience building CI/CD pipelines

• Expect quality and reliability from the solutions you build

• Enjoy collaborating across team boundaries to help our engineering teams meet their observability needs.

Nice to Have

• Experience monitoring AI systems or HPC clusters

• Experience with Prometheus and writing queries in PromQL

• Experience with messaging systems like NATS

• Understanding of the OpenTelemetry ecosystem and experience with both OTel instrumentation and the OTel collector

• Experience with network monitoring, Ethernet and Infiniband

• Understanding of dashboard design principles

• Strong understanding of Linux fundamentals and system administration.

• Experience with infrastructure automation tooling such as Ansible and Terraform

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

• Founded in 2012, with 500+ employees, and growing fast

• Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

• We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

• Our values are publicly available: https://lambda.ai/careers

• We offer generous cash & equity compensation

• Health, dental, and vision coverage for you and your dependents

• Wellness and commuter stipends for select roles

• 401k Plan with 2% company match (USA employees)

• Flexible paid time off plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.