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[Hiring] Senior Site Reliability Engineer - Networking @Lambda

Lambda

United States

Remote

USD 120,000 - 160,000

Full time

Yesterday
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Job summary

Lambda is seeking a remote Senior Site Reliability Engineer with expertise in networking to enhance its high-performance cloud network. Responsibilities include scaling networks, managing SDN, and ensuring data center reliability. Ideal candidates have strong backgrounds in Linux, Python, and multi-data center environments, with a focus on automation.

Benefits

Generous cash & equity compensation
Health, dental, and vision coverage
401k Plan with 2% company match
Flexible Paid Time Off Plan
Commuter/work from home stipends

Qualifications

  • 5+ years SRE, SWE, or Network Reliability experience.
  • Experience with production-scale networking projects.
  • Proficient in Linux command line and networking stack.

Responsibilities

  • Scale Lambda's high-performance cloud network.
  • Implement and operate Software Defined Networks.
  • Ensure high availability through observability and redundancy.

Skills

Network Reliability Engineering
Python
Linux
Automation
SDN
CI/CD
Incident Response

Tools

Kubernetes
Terraform
Ansible

Job description

Jun 20, 2025 - Lambda is hiring a remote Senior Site Reliability Engineer - Networking. Location: UK, Poland.

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.


What You'll Do

  • Help scale Lambda’s high performance cloud network

  • Contribute to the reproducible automation of network configuration and deployments

  • Contribute to the implementation and operations of Software Defined Networks

  • Help to deploy and manage Spine and Leaf networks

  • Ensure high availability of our network through observability, failover, and redundancy

  • Ensure clients have predictable networking performance through the use of network engineering and other applicable technologies

  • Help with deploying and maintaining network monitoring and management tools

You

  • Have 5+ years of experience being SWE, SRE or Network Reliability Engineering

  • Been part of the implementation of production-scale networking projects

  • Experience being on-call and incident response management

  • Have experience building and maintaining Software Defined Networks (SDN), experience with OpenStack, Neutron, OVN

  • Are comfortable on the Linux command line, and have an understanding of the Linux networking stack

  • Have experience with multi-data center networks and hybrid cloud networks

  • Have Python programming experience and configuration management tools like Ansible

  • Have experience with CI/CD tools for deployment and GIT. Operated network environment with GitOps practices in place.

  • Experience with application lifecycle and deployments on Kubernetes

Nice To Have

  • Operated production-scale SDNs in a cloud context (e.g. helped implement or operate the infrastructure that powers an AWS VPC-like feature)

  • Have Software development experience with C, GO, Python

  • Experience automating network configuration within public clouds, with tools like kubentetes, HELM, Terraform, Ansible

  • Deep understanding of the Linux networking stack and its interaction with network virtualization, SR-IOV and DPDK

  • Understanding of the SDN ecosystem (e.g. OVS, Neutron, VMware NSX, Cisco ACI or Nexus Fabric Controller, Arista CVP)

  • Have experience with Spine and Leaf (Clos) network topology

  • Have experience and understanding of BGP EVPN VXLAN networks

  • Experience with building and maintaining multi-data center networks, SD-WAN, DWDM

  • Experience with Next-Generation Firewalls (NGFW)

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. 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.

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