Platform Engineer, Core Services

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.

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

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

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

• 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

• 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

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.