Engineering Manager Core Cloud Platform

Lambda is an AI infrastructure company providing GPU supercomputers and cloud capacity for AI training and inference.

Series ERecently funded
San Francisco, United States
About Lambda

Lambda, Inc. builds and operates AI-focused compute infrastructure, including single-tenant Superclusters, deployable 1-Click Clusters, and on-demand GPU Instances for researchers, enterprises, and hyperscalers.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead the design, implementation, and production operation of cloud-platform services. You will set technical direction, manage engineers, own roadmaps and delivery, strengthen reliability practices, and coordinate platform integrations across infrastructure systems.

Requirements

  • 4+ years of engineering management experience
  • 7+ years of software engineering experience with distributed systems ownership
  • 8+ years implementing production services in Python or Go
  • Experience coordinating across compute, networking, and storage services
  • Experience with multi-region deployments, cross-datacenter state management, and high availability
  • Experience owning architecture, delivery, operations, and continuous improvement
  • Cross-functional collaboration experience

Responsibilities

  • Lead the design, implementation, and operation of cloud-platform services
  • Own the technical roadmap for distributed, resilient, observable platform services
  • Ensure reliable multi-datacenter and multi-region platform operations
  • Make architectural decisions for distributed services, APIs, schedulers, controllers, and automation
  • Define integration contracts across platform, compute, networking, fleet, security, and customer-facing systems
  • Lead, hire, develop, and manage senior and staff engineers
  • Own project planning, prioritization, and delivery
  • Establish engineering practices for testing, CI/CD, observability, incident response, and on-call operations
  • Resolve cross-functional dependencies and deliver customer outcomes
  • Improve engineering leverage through automation and AI-assisted engineering

Benefits

  • Cash and equity compensation
  • Health, dental, and vision coverage for employees and dependents
  • Wellness and commuter stipends for select roles
  • 401k plan with 2% company match for US employees
  • Flexible paid time off