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Lambda

Senior Cloud Infrastructure Engineer, Cloud Foundations

San Francisco Office (Fremont St) · San Jose Office (First St) · Bellevue Office

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hirly's read of this role

Seniority
Senior
Stated salary
$230,000 – $340,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
29 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

Original posting on Lambda's site ↗

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