L

Lambda

Cloud-based GPU services for AI training

Senior Site Reliability Engineer - Managed Kubernetes

Full-Time
$240k - $356k/yr+ Equity compensation + 2% 401(k) match
Senior
San Francisco, CA, USA+2 moreMore locations: San Jose, CA, USA | Bellevue, WA, USA
HybridFour days per week in the office; designated work-from-home day is Tuesday.
DevOps & InfrastructureSite Reliability Engineering

About the job

Requirements
  • At least 6 years of experience in an SRE, operations engineer, or similar role, with deep knowledge of running Linux clusters and systems.
  • Strong programming skills in Go and Python, and experience with GitOps (such as ArgoCD), Helm, and Kubernetes operators.
  • Proven experience operating Kubernetes clusters in production environments, including on-premises, EKS, GKE, or similar.
  • Ability to work independently with limited direction or as part of a team.
  • Ability to work with customers during incidents via tickets, live messaging, or larger calls.
  • Familiarity with observability tools such as Prometheus, Grafana, and Fluent Bit, and with CI/CD pipelines.
  • Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similar.
Responsibilities
  • Operate and maintain bare-metal Kubernetes clusters, scaling up to thousands of nodes.
  • Handle cluster degradation, recovery, resizing, and incident response using fleet management tools.
  • Participate in a well-managed on-call rotation for critical incidents.
  • Assist customers with Kubernetes questions, workload integration, storage, and authentication.
  • Work closely with HPC Ops and Datacenter Ops teams on low-level or cross-functional issues.
  • Use Python and Go to create tooling and automate platform-quality validation.
  • Design, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes.
  • Develop automation for cluster lifecycle management, including provisioning, upgrades, patching, and deletion.
  • Define and implement SLOs and SLIs for Kubernetes services, workloads, and platform reliability.
Desired Qualifications
  • Deep Kubernetes expertise, including CRDs, CSI, CNI, and Kubernetes Operator coding.
  • Exposure to HPC clusters, AI/ML workloads, or large-scale GPU clusters.
  • Experience in hybrid or multi-cloud Kubernetes environments.
  • Contributions to CNCF projects or Kubernetes SIGs.

About the company

Lambda Labs provides cloud-based GPU services for AI training and inference. Its AI Developer Cloud runs on NVIDIA GH200 Grace Hopper hardware to train large language models and generative AI, offering on-demand and reserved GPUs billed by the hour (for example, $1.99/hour for H100). It differentiates itself through competitive pricing, high availability, and an integrated ML stack with Lambda Stack for easy installation of PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers, plus Lambda Echelon for owning infrastructure with hosting and support. Its goal is to make scalable AI development and deployment affordable by providing flexible GPU access, reliable hosting, and streamlined software deployment for teams working with large models.

Company Size

501-1,000

Company Stage

Late Stage VC

Total Funding

$9.1B

Headquarters

San Jose, California

Founded

2012

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Simplify's Take

What believers are saying

  • October 1, 2026, Lambda closed $1 billion fixed-rate debt for contracted deployments.
  • August 31, 2026 Reuters reported Anthropic's $35 billion Lambda deal for Texas capacity.
  • May 2026 leadership changes installed Michel Combes and John Donovan for scale execution.

What critics are saying

  • Lambda's growth now depends on Nvidia chip allocation and pricing, tightening margins immediately.
  • October 1 financing secures three deployments; one canceled off-take strains highly levered infrastructure economics.
  • A failed hyperscale customer ramp, especially Anthropic, threatens refinancing and a pre-IPO exit.

What makes Lambda unique

  • Lambda pairs bare-metal GPU clouds with on-prem hardware and software, simplifying full-stack AI deployment.
  • At GTC 2026, Lambda announced early Vera Rubin NVL72 bare-metal instances for H2 2026.
  • Lambda runs production-scale infrastructure, including Quantum-X InfiniBand Photonics on 10,000-GPU GB300 clusters.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Wellness Program

Commuter Benefits

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

2%

2 year growth

1%
The Wall Street Journal
Oct 6th, 2026
Exclusive | AI-Computing Startup Lambda Is Raising $4 Billion in Final Round Before Planned IPO

The Nvidia-backed company is targeting an IPO in 2027.

Yahoo Finance
Sep 1st, 2026
Anthropic signs $35B cloud deal with Nvidia-backed Lambda for Texas data centre

Anthropic has signed a $35 billion cloud-computing agreement with Nvidia-backed Lambda, the Wall Street Journal reported. The deal gives Anthropic access to computing capacity from a Texas data centre being developed by Hut 8, a Bitcoin miner turned data centre operator. Nvidia secured capacity at the facility, whilst Lambda will deploy Nvidia chips and provide computing resources to Anthropic. The arrangement's financial terms remain unclear. Anthropic's annualised revenue run rate reportedly reached $65 billion by end-July. The structure highlights Nvidia's expanding role beyond selling AI chips. Anthropic previously agreed to spend $45 billion over six years with another Nvidia-backed provider, Nscale. In April, Amazon announced Anthropic plans to spend over $100 billion on AWS technology over the next decade.

Associated Press
Aug 27th, 2026
Lambda closes $926M term loan B to fund GPU infrastructure for investment-grade customer

Lambda has closed a $926 million senior secured term loan B facility to fund GPU infrastructure for an investment-grade customer. The facility, priced at SOFR + 3.00% and issued at 99.5% of principal, received a Baa2 rating from Moody's. This marks Lambda's first large-scale private cloud GPU asset-backed financing and the first broadly syndicated, investment-grade-rated term loan B by a private neocloud. The facility matures on 31 December 2030 and is secured by the GPU servers and related infrastructure it funds. The closing follows Lambda's $1 billion senior secured credit facility announced in May 2026. Morgan Stanley acted as lead left arranger, bookrunner, and administrative agent, with MUFG serving as joint bookrunner.

The Next Web
Aug 25th, 2026
Lambda is raising up to $3bn before an IPO, months after borrowing $917m for chips

Nvidia-backed Lambda is in talks for up to $3bn in pre-IPO financing at a valuation of $12bn or more, ahead of a listing next year.

AD HOC NEWS
Aug 11th, 2026
Nvidia arranges $500B AI infrastructure credit, raising Ouroboros risk concerns over chipmaker-lender overlap

Nvidia is arranging over $500 billion in AI infrastructure credit alongside Apollo Global Management, Blackstone, BlackRock, Brookfield Asset Management, Goldman Sachs and KKR, raising concerns about circular financing. The chipmaker may secure up to $125 billion of the total itself. A recent $917 million credit facility with Lambda demonstrates how the system works: customers lacking liquidity can access capital arranged through the consortium to purchase Nvidia hardware. CEO Jensen Huang aims to transform the company's graphics chips into an "investable asset class". Critics warn of an "Ouroboros dilemma" — when manufacturers arrange loans for customers to buy their own products, creating a closed loop vulnerable to collapse if actual AI service demand lags infrastructure buildout. Nvidia shares closed at €188.50 on Monday, down 2.67%. The company reports second-quarter fiscal 2027 earnings on 26 August.