SRE - Observability (Senior)

2 Months ago • 8 Years + • $267,000 PA - $401,000 PA
Devops

Job Description

Lambda, a leading GPU Cloud provider for ML/AI teams, is seeking a Senior SRE specializing in Observability to build and scale their cloud offering. This role involves deploying and operating observability platforms for logging, metrics, and distributed tracing, automating their deployment, and setting up monitoring for AI/HPC clusters. The engineer will develop platform software to enhance system reliability and lead cross-team efforts to address monitoring challenges. The ideal candidate has 8+ years of software engineering experience, including 3+ years in Go and 5+ years in Site Reliability Engineering practices, with a proven understanding of observability tools and practices, Kubernetes for deployment and monitoring, and CI/CD pipeline experience. The role emphasizes collaboration and a commitment to quality and reliability in solutions.
Good To Have:
  • Monitoring AI/HPC systems
  • Prometheus/PromQL experience
  • Experience with NATS
  • OpenTelemetry knowledge
  • Network monitoring (Ethernet/Infiniband)
  • Dashboard design principles
  • Linux fundamentals/sysadmin
  • Infrastructure automation (Ansible/Terraform)
Must Have:
  • 8+ years in software engineering
  • 3+ years in Go
  • 5+ years in SRE practices
  • Understanding of Observability tools/practices
  • Experience with Kubernetes
  • Experience building CI/CD pipelines
  • Focus on quality and reliability
  • Collaborative attitude
Perks:
  • Generous cash & equity compensation
  • Health, dental, and vision coverage
  • Wellness and Commuter stipends
  • 401k Plan with 2% company match
  • Flexible Paid Time Off

Add these skills to join the top 1% applicants for this job

linux
network-monitoring
ansible
prometheus
terraform
deep-learning
ci-cd
kubernetes
machine-learning

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.


If you'd like to build the world's best deep learning 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

Based on market data and other factors, the annual salary range for this position is $267K-$401K. 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, ~350 employees (2024) and growing fast

  • We offer generous cash & equity compensation

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

  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • 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.

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