Senior Site Reliability Engineer, Lambda

Managed Kubernetes

£146-237k

+ Equity

Kubernetes

Python

Linux

Prometheus

Grafana

Golang

Senior and Expert level

London

More information about location

Deep learning infrastructure company

Be an early applicant

Deep learning infrastructure company

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Be an early applicant

£146-237k

+ Equity

Kubernetes

Python

Linux

Prometheus

Grafana

Golang

Senior and Expert level

London

More information about location

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Company mission

To accelerate human progress through computation.

Job

Company

Role

Who you are

6+ years of experience in a SRE, operations engineer, or similar role, with a deep knowledge of running Linux clusters and systems
Strong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operators
Proven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)
Can work either independently with limited direction or as part of a team
Can work with customers during incidents either via tickets, live messaging, or as part of a larger call
Familiarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelines
Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similar

Desirable

Deep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experience
Exposure to HPC clusters, AI/ML workloads, or large-scale GPU clusters
Hybrid or multi-cloud Kubernetes environment experience
Contributions to CNCF projects or Kubernetes SIGs

What the job involves

Engineering at Lambda is responsible for building and scaling our cloud offering
Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance
Operate and maintain bare-metal Kubernetes clusters, scaling up to thousands of nodes
Handle cluster degradation, recovery, resizing, and incident response using fleet management tools
Participate in a well-managed on-call rotation for critical incidents
Assist customers with Kubernetes questions, workload integration, storage, and authentication
Work closely with our HPC Ops and Datacenter Ops teams for low-level or cross-functional issues
Use Python and Golang to create tooling and automate the validation of platform quality
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
Define and implement SLOs and SLIs for Kubernetes services, workloads, and platform reliability
Work on cutting-edge Managed Kubernetes platforms for AI/ML workloads
Influence the platform roadmap and help shape operations and reliability best practices
Collaborate with a highly skilled engineer
Opportunity to mentor and grow within a fast-growing, technology-driven environment

Salary benchmarks

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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