Engineering Manager, Core Services

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 or upcoming Bellevue office location 4 days per week;
Lambda’s designated work from home day is currently Tuesday.

The Lambda Core Services team builds and operates release engineering, cloud automation, and workflow systems for our AI cloud product suite. We provide CI/CD tooling and artifact management to support the build/deploy process for our services. We also automate configuration of our AWS and other SaaS resources and manage AWS usage for all of Lambda engineering. Keeping the internal product and engineering teams moving quickly and delivering quality is what makes us tick.

Along with the Platform Engineering organization, we help to build the foundations that unlock product excellence and a highly reliable experience for our customers.

We are seeking a seasoned Engineering Manager with deep experience in both release engineering and the management of large-scale cloud deployments. You will hire and guide a team of platform engineers in building out critical pillars of our stack. You will lead the team in designing, deploying, scaling, and supporting these solutions.

Your role is not just to manage people, but to coordinate the delivery of platform solutions to engineering customers within Lambda. This is a unique opportunity to work at the intersection of platform engineering and the rapidly evolving field of AI infrastructure.

• Grow/Hire, lead, and mentor a team of high‑performing platform engineers and SREs.
• Foster a culture of technical excellence, collaboration, and customer service.
• Conduct regular one‑on‑one meetings, provide constructive feedback, and support career development for team members.
• Drive outcomes by managing project priorities, deadlines, and deliverables.

• Work with the engineering team to drive strategy for internal CI/CD and Cloud services.
• Develop self‑service abstractions to make our platform tooling easier to adopt and use.
• Lead the broader engineering organization in best‑practices adoption of CI/CD, Workflow, and Cloud services.
• Manage costs of both vendors and internally developed platforms.
• Lead team in the continued development of our existing CI/CD solutions based on Buildkite and Github Actions.
• Lead team in the expansion of our Terraform / Atlantis infrastructure automation platform.
• Guide Lambda engineering in utilization of AWS services in line with our technical standards.
• Guide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.
• Identify gaps in our platform engineering posture and drive resolution.
• Lead the team in supporting our internal customers from across Lambda engineering.

• Work closely with Lambda product engineering teams on requirements and planning to meet their needs.
• Work to understand the needs of engineering teams and drive our Platform solutions towards self‑service.
• Manage a short list of vendors that provide SaaS solutions used at Lambda.

• 7+ years of experience in either Release Engineering or Platform Engineering with at least 3 years in a management or lead role.
• Demonstrated experience leading a team of engineers and SREs on complex, cross‑functional projects in a fast‑paced startup environment.
• Experience managing, monitoring, and scaling CI/CD platforms.
• Deep experience using and operating AWS services.
• Solid background in software engineering and the SDLC.
• Strong project management skills, leading planning, project execution, and delivery of team outcomes on schedule.
• Experience building a high‑performance team through deliberate hiring, upskilling, performance‑management, and expectation setting.