Senior Cloud Infrastructure Engineer, Cloud Foundations
Lambda is hiring a Senior Cloud Infrastructure Engineer, Cloud Foundations. It pays $230k-$340k a year and Level rates it ; you can apply on Lambda.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Some of the work can be done remotely, according to the posting.
- The posting mentions Terraform, AWS and Atlantis among its tools and skills.
- Level classes it as a senior role.
- Lambda has 93 other open roles on Level.
AI in this role
Manage and scale cloud infrastructure and foundational AWS systems powering an AI cloud platform.
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.
How we rate this
Senior Cloud Infrastructure Engineer, Cloud Foundations at Lambda rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where iam was part of your work. What did you do?
- Tell me about a project where networking was part of your work. What did you do?
- Tell me about a project where devops was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Cloud Infrastructure, Iam, Networking, and DevOps. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new remote software engineering jobs by email
One email a week with the new remote software engineering jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step