Platform Engineer, Core Services

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

If you'd like to build the world's best deep learning cloud, join us. 

*Note: This position requires presence in our San Francisco/San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

• Maintain, improve, and curate the growing fleet backing our CI/CD tooling

• Use Terraform to configure, manage, and onboard SaaS services central to Engineering

• Create reusable templates and best practices for common CI/CD workflows

• Develop and maintain internal tooling to support and provide leverage to Engineers

• Work closely with customer teams to identify and address areas of improvement within the team’s scope

• Participate in an on-call rotation, providing coverage for our critical systems and supporting the team by triaging incoming requests and writing documentation/runbooks

You

• Are tenacious, learn from doing, and are excited to wear multiple hats within a highly collaborative team

• Have 2+ years experience with infrastructure-as-code/configuration management tooling such as Ansible or Terraform

• Have 2+ years working in a cloud environment like AWS or GCP

• Have a strong customer-centric mindset, and value empowering your peers

• Are comfortable working with CI/CD systems to automate running workflows

Nice to Have (Add bullet points)

• Production-quality coding skills in Python

• Experience working with Kubernetes

• Familiarity with virtualization and/or containerization tooling (KVM, Docker, etc.)

• Experience managing Linux systems

• Experience working with SaaS vendors

• Exposure to compliance efforts such as SOCII, SOX, etc.

• Experience managing baremetal systems

Salary Range Information 

Based on market data and other factors, the annual salary range for this position is $180,000-$250,000 annually. 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

• Commuter/Work from home 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.