Engineering Manager, Core Cloud Platform
Leads Lambda's Core Cloud Platform team building and operating Managed Kubernetes and foundational cloud services on large-scale GPU infrastructure. The role owns people, delivery, and production reliability across multi-region distributed systems, built mainly in Python or Go.
- Compensation
- $330K–$440K / yr
- Location
- San Francisco Office (Fremont St)
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 4+ years of engineering management experience growing high-performing teams
- 7+ years of software engineering IC experience with principal/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 coordinating across multiple independently-owned infrastructure services (compute, networking, storage)
- Background in multi-region deployment strategies, cross-datacenter state management, and high-availability architectures
- Track record owning projects end-to-end: architecture, delivery, operations, continuous improvement
- Excellent cross-functional collaboration across infrastructure, platform, and product teams
Nice to have
- Awareness of bare metal and GPU infrastructure ecosystem (NVIDIA NiCo / NCX Infra Controller, BlueField DPU)
- 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
- Track record designing large-scale cloud IaaS platforms from the ground up
- Exposure to IPO readiness, enterprise compliance, or security requirements at scale
Full 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.
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 Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
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.
The immediate focus for this role includes evolving Lambda’s Managed Kubernetes platform: making it easier and safer to provision, upgrade, operate, and scale Kubernetes clusters for demanding AI workloads. The platform integrates closely with Lambda’s underlying compute, networking, storage, fleet, and security systems.
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. This is a high-leverage role at the intersection of cloud infrastructure, distributed systems, Kubernetes, and the customer experience.
What You’ll Do
- 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, including appropriate handling of partial failures and long-running workflows.
- Partner with senior and staff engineers to make sound architectural decisions across distributed services, stateful systems, APIs, schedulers, controllers, and automation.
- 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; hire exceptionally, develop people, maintain a high-performance bar, and address underperformance directly.
- Own project planning, prioritization, and delivery aligned with Lambda’s business objectives and customer commitments.