Senior Software Engineer, Lambda

Managed Kubernetes

$255-405k

Plus generous cash & equity compensation

Kubernetes

Python

Linux

Terraform

Prometheus

Grafana

Pulumi

Senior and Expert level

San Francisco Bay Area

More information about location

4 days a week in office

Deep learning infrastructure company

Be an early applicant

Deep learning infrastructure company

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Be an early applicant

$255-405k

Plus generous cash & equity compensation

Kubernetes

Python

Linux

Terraform

Prometheus

Grafana

Pulumi

Senior and Expert level

San Francisco Bay Area

More information about location

4 days a week in office

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Company mission

To accelerate human progress through computation.

Job

Company

Role

Who you are

Have 6+ years of experience in software engineering, 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

Desirable

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

What the job involves

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
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
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

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.

With investments from 1517, Gradient Ventures, Bloomberg Beta, and Razer, Lambda intends on using the capital to expand its cloud and software, engineering teams. As well as looking to ramp up more investments into its GPU cloud, the company is constantly working to improve its hardware products.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

26% employee growth in 12 months

Glassdoor (3.5)

Company

Funding (last 2 of 5 rounds)

Feb 2025

$480m

SERIES D

Feb 2024

$320m

SERIES C

Total funding: $863m

Company benefits

100% remote team
Healthcare, dental, vision, work-from-home Internet, and phone stipend.
Vacation Plan: We offer flexible PTO to all team members as well as five sick days and twelve paid holidays each year.
Paid Leave: Team members will receive financial security during some of life's more stressful moments, should they experience those. Offering paid parental leave, paid personal medical leave, and paid caregiver leave.

Company HQ

Dogpatch, San Francisco, CA

Leadership

Michael Balaban

(Co-Founder)

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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