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Senior Site Reliability Engineer - Observability

Posted about 2 months ago

RemoteSan Francisco Office (Fremont St)240k - 401k USD

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, San Jose, or Bellevue WA 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 cluster infrastructure.

  • Develop platform software to make observability adoptable and improve product reliability.

  • Lead members of other engineering teams in development of 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 strong experience with modern devops practices

  • 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 with compute infrastructure monitoring or network monitoring

  • 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 for 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.

Job details
Workplace
Remote
Location
San Francisco Office (Fremont St)
Salary
240k - 401k USD
per year

Cloud GPUs, on-demand clusters, private cloud, and hardware for AI training and inference. Run B200 and H100, deploy fast, and scale cost effectively.

Industry
Software Development
Headquarters
San Francisco, California
Founded
2012
Company location
San Francisco, California
Specialties
Deep Learning, Machine Learning, Artificial Intelligence, LLMs, Generative AI, Foundation Models, GPUs, Distributed Training, Superintelligence, AI Infrastructure, and AI Factories

Key team members

Peter Bordes

Peter Bordes

Ofer SHOSHAN

Ofer SHOSHAN

Vinay Seth

Vinay Seth

Craig Roche

Craig Roche

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