Software Engineer, Lambda

Managed Kubernetes

$225-300k

Docker

Kubernetes

Python

Java

C++

Jenkins

Git

Senior level

San Francisco Bay Area

More information about location

4 days a week in office (Fremont St, CA)

Deep learning infrastructure company

Be an early applicant

Deep learning infrastructure company

501-1000 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Be an early applicant

$225-300k

Docker

Kubernetes

Python

Java

C++

Jenkins

Git

Senior level

San Francisco Bay Area

More information about location

4 days a week in office (Fremont St, CA)

501-1000 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Company mission

To make compute as ubiquitous as electricity and give everyone in America the power of superintelligence.

Job

Company

Role

Who you are

Have a Bachelor’s degree or foreign equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field
Have 5 years of progressive experience as Software Engineer or related occupation
Must have at least 1 year of prior work experience in each of the following:
Distributed systems software development as applied to computer networking infrastructure
Full-stack development in multiple software languages including Python, Go, Java, or C/C++
Software development using cloud-native technologies including Docker, Kubernetes, Helm, Etcd, and gRPC
Development and CI/CD workflow using tools including Gerrit, Git, and Jenkins
Working with and developing open-source projects
Tuning Kubernetes configuration and working with Operators, CRDs, CSI, and CNI

What the job involves

Design, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes
Develop automation for cluster lifecycle management (provisioning, upgrades, patching, and deletion)
Develop internal tools, APIs, and command-line interfaces (CLIs) that enable customers and ML and AI teams to deploy and monitor inference services effectively
Write resilient systems that gracefully handle failure across large-scale distributed environments
Define and implement Service-Level Objectives (SLOs) and Service-Level Indicators (SLIs) for Kubernetes services, workloads, and the platform
Drive into systems at a low level to solve unique cluster problems and write up the findings
Assist customers with high-level Kubernetes questions and integrations with applications, storage, and authentication
Assist with initial cluster buildouts 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

Our take

Lambda is a leading provider of deep learning GPU cloud services and computing hardware, founded to aid in providing a solution to the difficult problem of teaching machines how to see and learn.

Their customers include Apple, Intel, Microsoft, Linkedin, and Fortune 500 companies like Microsoft and Amazon Research, so it's no coincidence that Lambda GPU Cloud ranks number three on a google search for 'GPU cloud', behind only NVIDIA and Google itself.

After a successful 2025, the company is now looking at an initial public offering in the second half of 2026. This comes after the company signed a multi-billion-dollar contract with Microsoft to provide the hyperscaler with access to its GPUs, and it's also believed to have signed a $1.5B lease-back deal with Nvidia. This, coupled with significant funding put Lambda in a very good position for future growth.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

26% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 6 rounds)

Nov 2025

$1.5bn

SERIES E

Feb 2025

$480m

SERIES D

Total funding: $2.4bn

Company benefits

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

Company HQ

Financial District, San Francisco, CA

Leadership

Michael Balaban

(Co-Founder & CTO)

Graduating with a BS in Discrete Mathematics and Computer Science, Michael is experienced in software engineering and previously worked for Nextdoor as part of its infrastructure team.

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