Description
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.
The Role Lambda’s Core Cloud Platform organization builds the software and services that turn large-scale GPU infrastructure into reliable, customer-facing cloud products. The team owns foundational platform capabilities across Managed Kubernetes, resource lifecycle, workload orchestration, cloud APIs, automation, observability, and multi-region operations.
As Engineering Manager, you will lead a team building and operating these foundational platform services. You will own the team’s people, execution, technical quality, and production outcomes while partnering with senior engineers to set technical direction.
Responsibilities:
- Lead the design, implementation, and production operation of foundational cloud-platform services.
- Own the technical roadmap for making the platform more distributed, resilient, observable, and operationally efficient.
- Ensure the platform operates reliably across a growing multi-datacenter and multi-region fleet.
- Partner with senior and staff engineers to make sound architectural decisions.
- Define clear contracts and integration patterns between the cloud platform and the compute, networking, fleet, security, and customer-facing systems around it.
- Lead and grow a team of senior and staff engineers.
- Own project planning, prioritization, and delivery aligned with Lambda’s business objectives and customer commitments.
- Establish strong engineering practices across design reviews, testing, CI/CD, observability, incident response, and on-call operations.
- Collaborate with peer Engineering Managers and cross-functional partners to resolve dependencies and deliver complete customer outcomes.
- Improve engineering leverage through automation, effective operating mechanisms, and responsible use of AI-assisted engineering.
- Stay current with developments in Kubernetes, cloud-native infrastructure, GPU orchestration, and platform automation, and apply them where they materially improve Lambda’s platform.
Requirements:
- 4+ years of engineering management experience with a demonstrated track record of growing high-performing teams
- 7+ years of software engineering IC experience, including principal or staff-level ownership of mission-critical distributed systems
- 8+ years implementing business-critical services in Python or Go, from conception through production
- Experience building systems that coordinate across multiple independently-owned infrastructure services
- Background in multi-region deployment strategies, cross-datacenter state management, and high-availability architectures
Nice to Have:
- Awareness of the evolving bare metal and GPU infrastructure ecosystem
- Experience evaluating or adopting vendor infrastructure tooling into an existing platform
- Familiarity with Kubernetes or Slurm
- Experience in the AI, ML, or GPU hardware industry
- Proven track record designing large-scale cloud IaaS platforms from the ground up
Values:
- Hands-on when needed
- High accountability
- Business and customer alignment
- Sound judgment
- Systems builder
- Agency with context
- Low ego and strong collaboration
- Learning through failure