Engineering Manager, Core Cloud Platform

About 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.

*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.*

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.
• 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 (compute, networking, storage) without owning them directly
• Background in multi-region deployment strategies, cross-datacenter state management, and high-availability architectures
• Strong track record of owning projects end-to-end: architecture, delivery, operations, and continuous improvement
• Excellent cross-functional collaboration - proven ability to drive alignment across infrastructure, platform, and product teams

Nice to Have

• Awareness of the evolving bare metal and GPU infrastructure ecosystem (e.g., NVIDIA NiCo/NCX Infra Controller, BlueField DPU capabilities, and multi-tenant bare metal management standards)
• 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
• Exposure to IPO readiness, enterprise compliance, or security requirements at scale