LambdaLA

Senior Software Engineer - Managed Kubernetes

Lambda Labs is an AI infrastructure company providing GPU cloud services, servers, and workstations designed to accelerate deep learning and machine learning processes.

Lambda

Employee count: 201-500

Salary: 255k-405k USD

United States only

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

If you'd like to build the world's best deep learning cloud, join us.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the Role

We are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. This is a hybrid role that blends deep software engineering capabilities with Site Reliability Engineering (SRE) principles. You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform.

What You’ll Do

Software Engineering

  • Design, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes.

  • Develop automation for cluster lifecycle management (provisioning, upgrades, patching, deletion).

  • Develop internal tools, APIs, and command-line interfaces (CLIs) that enable customers and ML/AI teams to deploy and monitor inference services effectively.

  • Write resilient systems that gracefully handle failure across large-scale distributed environments.

SRE & Operations

  • Define and implement Service-Level Objectives (SLOs) and Service-Level Indicators (SLIs) for Kubernetes services, workloads, and the platform.

  • Dive into systems at a low level to solve unique cluster problems and write up your findings

  • Assist customers with high-level Kubernetes questions and integration with applications, storage, and authentication

  • Assist with initial cluster build-outs and validation to help identify failed hardware before customer delivery

  • Work closely with our HPC Ops and Datacenter Ops teams on issues that require lower-level expertise or cross-functional solutions

  • Participate in a well-managed, sustainable on-call rotation

You

  • Have 6+ years of experience in software engineering or SRE roles, 3+ years leading large-scale complex projects, or tech lead.

  • Experience tuning Kubernetes internals and writing operators (CRDs, CSI, CNI, etc.).

  • Strong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operators.

  • Experience operating Kubernetes clusters in production environments (e.g., EKS, GKE, on-prem).

  • Deep understanding of SRE principles: incident response, chaos engineering, scaling, and reliability.

  • Proficiency in observability tools (Prometheus, Grafana, FluentBit, etc.).

  • Experience with infrastructure-as-code tools (Terraform, Pulumi) and CI/CD pipelines.

  • Solid knowledge of Linux systems, networking, containers, and cloud infrastructure.

Nice to Have

  • Deep Kubernetes expertise

  • Experience with user-level restrictions and hardening (e.g. AppArmor)

  • Experience with HPC clusters, environments & tooling

  • Experience with large-scale AI/ML training clusters

  • Experience with machine learning/AI frameworks

  • Expertise with hybrid or multi-cloud Kubernetes environments.

  • Familiarity with GPU, Infiniband, or high-performance computing on K8s.

  • Past contributions to CNCF projects or Kubernetes SIGs a plus.

If you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.

Salary Range Information

Based on market data and other factors, the annual salary range for this position is $255,000 - $405,0000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

  • Founded in 2012, ~350 employees (2024) and growing fast

  • We offer generous cash & equity compensation

  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Health, dental, and vision coverage for you and your dependents

  • Commuter/Work from home stipends for select roles

  • 401k Plan with 2% company match (USA employees)

  • Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

About the job

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Posted on

Job type

Full Time

Experience level

Senior

Salary

Salary: 255k-405k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Lambda

Learn more about Lambda and their company culture.

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At Lambda, we are at the forefront of accelerating artificial intelligence and machine learning capabilities through our groundbreaking compute infrastructure. Founded in 2012, our mission is to empower AI engineers and researchers by providing them with the most efficient and powerful tools to train, fine-tune, and deploy AI models at scale. We recognized early on the immense computational power required for deep learning and set out to build solutions that make this power accessible and affordable. Our innovative approach began with developing high-performance GPU-powered workstations and servers, meticulously designed for the rigorous demands of AI development. This hardware foundation was engineered for plug-and-play simplicity, enabling teams to rapidly deploy and begin their work without complex setup procedures.

Building on our hardware expertise, Lambda launched the Lambda GPU Cloud, a specialized cloud service offering on-demand and reserved access to cutting-edge NVIDIA GPUs. This platform is engineered to provide a seamless and scalable environment for both AI training and inference, catering to the needs of startups and large enterprises alike. A key component of our ecosystem is the Lambda Stack, a comprehensive AI software repository that simplifies the setup and management of popular deep learning frameworks and drivers with one-line installations. This focus on a streamlined software experience, combined with our high-performance hardware and cloud offerings, allows AI developers to transition from concept to production with unprecedented speed and efficiency. We are committed to pushing the boundaries of what's possible in AI by continuously innovating and providing the essential infrastructure that fuels the next generation of intelligent systems. Our solutions are trusted by leading research institutions, Fortune 500 companies, and pioneering AI-native organizations globally, as we help them tackle complex computational challenges and drive significant advancements in their respective fields.

Employee benefits

Learn about the employee benefits and perks provided at Lambda.

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Dental

Dental coverage.

Vision

Vision coverage.

Sick days

Five sick days per year.

Paid holidays

12 paid holidays per year.

View Lambda's employee benefits
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Lambda hiring Senior Software Engineer - Managed Kubernetes • Remote (Work from Home) | Himalayas