Engineering Manager (Core Cloud Platform)

Lambda; United States; On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Dental

Vision

401k match

Paid holidays

Sick days

Flexible PTO

Parental leave

Caregiver leave

Job summary

Lambda’s Core Cloud Platform organization builds software and services that turn large-scale GPU infrastructure into reliable, customer-facing cloud products. You will lead a team building foundational platform services, owning people, execution, and production outcomes.

As Engineering Manager, you will define the technical roadmap, ensure multi-datacenter reliability, and partner with senior engineers to shape architecture and automation across compute, networking, storage, and security.

Qualifications

• 7+ years of software engineering in roles with distributed systems ownership.
• 8+ years building business-critical services in Python or Go.
• Strong cross-functional collaboration across infra, platform, and product teams.
• Experience coordinating multi-region deployments and high-availability architectures.
• Hands-on when needed, capable of deep-dive details without becoming bottleneck.

Responsibilities

• Lead design, implementation, and production operation of foundational cloud-platform services.
• Own the technical roadmap for a distributed, observable platform.
• Guide a team of senior and staff engineers; hire, develop, and maintain high performance.
• Set engineering practices: design reviews, testing, CI/CD, incident response, on-call.
• Collaborate with peers to deliver complete customer outcomes.
• Advance automation and AI-assisted engineering to improve leverage.

Skills

Cloud infrastructure

Distributed systems

Kubernetes

Python

Go

Leadership

Team management

Production-grade systems

Architecture

Tools

Kubernetes tooling

Slurm

NiCo

BlueField DPU

Job description

• 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
• 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

Benefits

• Health, dental vision
• 401k match
• 5 sick days and 12 paid holidays
• Flexible PTO
• Paid parental, medical, and caregiver leave

Learning through failure: turns operational and organizational failures into stronger systems and lasting improvements7+ years of software engineering individual-contributor experience, including principal- or staff-level ownership of mission-critical distributed systems8+ years implementing business-critical services in Python or Go, from conception through productionExcellent cross-functional collaboration and a proven ability to drive alignment across infrastructure, platform, and product teamsExperience building systems that coordinate across multiple independently owned infrastructure services (compute, networking, and storage) without owning them directlyLow ego and strong collaboration: handles disagreement directly, learns when wrong, and builds productive cross-functional relationshipsBusiness and customer alignment: connects technical priorities to the outcomes that matter for Lambda and its customersBackground in multi-region deployment strategies, cross-datacenter state management, and high-availability architecturesHands-on when needed: able to get into the details when the team or system needs it without becoming the long-term bottleneck4+ years of engineering management experience with a demonstrated track record of growing high-performing teamsStrong track record of owning projects end to end: architecture, delivery, operations, and continuous improvementSystems builder: creates teams, processes, and technical foundations that operate effectively without constant interventionSound judgment: makes decisions with incomplete information, manages risk, and changes direction when the evidence changesAgency with context: finds responsible paths through obstacles without creating unnecessary risk or operating as a cowboyHigh accountability: takes responsibility for delivery and production outcomes and does not tolerate systems remaining unreliableAwareness of the evolving bare-metal and GPU infrastructure ecosystem, including tools like NVIDIA NiCo (NCX Infra Controller) for DPU-enforced lifecycle automation, BlueField DPU capabilities, and emerging industry standards for multi-tenant bare-metal managementExperience in the AI, ML, or GPU hardware industryExperience evaluating or adopting vendor infrastructure tooling into an existing platform, performing a full migration, and exercising judgment in assessing fit, risk and timingProven track record designing large-scale cloud IaaS platforms from the ground upExposure to IPO readiness, enterprise compliance, or security requirements at scaleFamiliarity with Kubernetes or Slurm