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/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Cloud Foundations manages the account, access, and network foundation that Lambda's cloud infrastructure runs on, implementing governance and access controls in line with company policies. In practice that means AWS accounts and IAM, the VPC and transit network structure, DNS, and the Terraform execution platform that every change flows through.
This is a new team, and this role helps define it. Working closely with Security, GRC, IT, and the engineering teams that consume the foundation, this position turns policy into working controls and paved paths, so that hundreds of engineers can safely self-serve instead of filing requests.
What You’ll Do
Own and evolve the IaC execution platform (Terraform, Atlantis): how infrastructure changes are proposed, reviewed, and applied across the company
Design and operate Lambda's cloud account, access, and IAM structure: organizational hierarchy, provisioning, and permission models
Own the cloud network foundation: VPCs, Transit Gateway, and DNS, including the patterns other teams build on
Drive AWS cloud governance: tagging standards, compliance guardrails, and cost visibility and accountability
Implement least-privilege access and compliance automation in line with company requirements and policies, replacing manual access and provisioning work with self-service
Help shape how this new team operates: its scope, priorities, and service boundaries
Participate in an on-call rotation and keep the systems you own well-documented, reliable, and observable
Who You Are
6+ years of experience in cloud infrastructure, cloud platform, or cloud security engineering, or a closely related discipline
Deep experience managing AWS at scale: multi-account organizations, IAM and permission boundaries, SCPs, and resource organization
Strong foundation in infrastructure-as-code (Terraform) and the tooling around it: modules, state management, and automated plan/apply workflows
Solid cloud networking fundamentals: VPC design, transit and hybrid connectivity, DNS, and edge/CDN configuration
Comfortable writing the automation and tooling that runs the foundation (Go and/or Python), and treating it as a product: real users, real quality standards, and things that actually get adopted
Use AI tools as a natural part of how you work, and hold their output to the same bar as your own: you review it, verify it, and own what ships
Build for the many, not for one team or one use case
Comfortable with ambiguity and clarifying ownership
Distill the right problem out of the noise: ask the why behind the why
Own what you build past the point it ships: monitor it, measure whether it actually helped, and act on what you learn
Sweat the details and aren't satisfied until things run smoothly
Nice to Have
Experience building agentic workflows that automate meaningful parts of infrastructure operations or governance
Experience implementing controls for a compliance program (SOC 2, ISO 27001) without turning it into manual toil
Cloud cost management and FinOps experience
Hands-on experience with Azure, GCP, or OCI alongside AWS
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
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.
Skills Required
- 6+ years of experience in cloud infrastructure, cloud platform, cloud security engineering, or a closely related discipline
- Deep experience managing AWS at scale, including multi-account organizations, IAM, permission boundaries, SCPs, and resource organization
- Strong infrastructure-as-code experience with Terraform, including modules, state management, and automated plan/apply workflows
- Solid cloud networking fundamentals, including VPC design, transit and hybrid connectivity, DNS, and edge/CDN configuration
- Ability to write automation and tooling in Go and/or Python
- Experience using AI tools responsibly, including reviewing, verifying, and owning shipped output
- Experience building scalable self-service infrastructure for multiple engineering teams
- Comfort with ambiguity, clarifying ownership, and defining team scope and priorities
- Ability to monitor, measure, document, and operate systems after deployment
- Experience building agentic workflows for infrastructure operations or governance
- Experience implementing SOC 2 or ISO 27001 compliance controls
- Cloud cost management and FinOps experience
- Hands-on experience with Azure, GCP, or OCI alongside AWS
Lambda Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lambda and has not been reviewed or approved by Lambda.
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Fair & Transparent Compensation — Pay is considered competitive for an AI infrastructure company, with posted ranges and observed offers indicating strong packages for senior technical roles. Compensation is often characterized as competitive or top‑shelf, aligning with market expectations.
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Healthcare Strength — Health, dental, and vision coverage are characterized as strong, with broad‑network plans noted and positive experiences highlighted. This foundation supports overall satisfaction with core insurance benefits.
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Leave & Time Off Breadth — Flexible or unlimited PTO is described as actually used, complemented by paid holidays and sick time. Generous parental leave examples further expand the time‑off offering.
Lambda Insights
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
