# Staff Software Engineer - Managed Kubernetes

**Company**: Lambda
**Location**: San Francisco, California
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $314K - $465K
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/Lambda/f181b886-961a-4b38-afa4-ffb71acafe9f?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/staff-software-engineer-managed-kubernetes-b77a5fd1-f02/

## Description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.

We are seeking a Staff Engineer to help develop our Managed Kubernetes platform, a foundational technical leadership role where you will shape the infrastructure that powers the next generation of AI training and inference at scale.

As a Staff Engineer on our Orchestration team, you will collaborate to help drive the technical vision for Lambda's managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps.

**Responsibilities**

- Product Engineering:

- Drive technical vision for Lambda's Managed Kubernetes bare-metal platform

- Integrate and extend NVIDIA's open-source ecosystem

- Design GPU-aware orchestration systems

- Lead development of services that power our managed services

- Inform on and help with networking solutions for AI workloads

- Inform and help with storage architecture requirements for AI workloads

- Build the foundation for Managed Slurm on Kubernetes

- Design higher-level platform services for inference

- Design self-healing systems and automation for incident response

- Lead chaos engineering efforts to validate system behavior under failure conditions at scale

- Establish operational excellence for a managed service

- Cross-Functional Infrastructure Leadership:

- Serve as the technical bridge between Orchestration and other infrastructure teams

- Drive infrastructure-wide decisions that enable successful managed services

- Provide input on bare-metal provisioning, network topology, and storage systems

- Champion consistency and standardization across Lambda's infrastructure stack

- Work directly with customers and internal teams to understand existing deployments

- Technical Leadership:

- Set technical direction for Kubernetes services across the Orchestration team

- Drive reviews and design sessions

- Mentor and grow engineers

- Collaborate cross-functionally with Network, Storage, Security, and Customer Success teams

- Engage with NVIDIA and the open-source community

- Represent Lambda externally through technical blog posts, conference talks, and strategic customer engagements

**Requirements**

- 10+ years of experience in software engineering, platform engineering, or SRE

- Expert-level understanding of Kubernetes internals

- Holistic infrastructure expertise

- Strong software engineering skills in Go and Python

- Deep experience with GPU orchestration in Kubernetes

- Proven track record of technical leadership

- Deep experience designing and operating managed services or multi-tenant platforms

- Strong understanding of distributed systems principles

- Experience with observability at scale

- Solid knowledge of Linux systems and networking

**Preferred Qualifications**

- Experience building and operating managed Kubernetes services

- Hands-on experience with NVIDIA's open-source ecosystem

- Familiarity with HPC and traditional job schedulers

- Background in confidential computing

- Experience migrating customers or workloads from legacy/bespoke infrastructure

- Contributions to CNCF projects, Kubernetes SIGs, or NVIDIA open-source projects

- Familiarity with security and compliance in multi-tenant environments

- Background in ML infrastructure

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Kubernetes
- GPU orchestration
- Distributed systems
- Go
- Python
- Linux systems
- Networking

### Nice to have
- Managed Kubernetes
- NVIDIA open-source ecosystem
- HPC
- Confidential computing
- ML infrastructure

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/Lambda/f181b886-961a-4b38-afa4-ffb71acafe9f?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)