Source Job

$270,400–$461,800/yr
US

  • Own networking across the managed Kubernetes platform, from cluster networking to data center fabric and GPU interconnect.
  • Automate tenant and node network lifecycles with Kubernetes-native tooling, including BGP, VLANs, overlays, and GPU networking.
  • Drive network telemetry, incident response, and security policy through GitOps and segmentation standards.

Networking BGP Kubernetes Go

13 jobs similar to Staff/Sr. Staff Network Engineer

Jobs ranked by similarity.

$270,400–$401,600/yr
US

  • Design and build data center network fabrics for large GPU clusters.
  • Automate network provisioning, configuration, and change management in code.
  • Own BGP, VLANs, VRFs, EVPN/VXLAN, and tune GPU networking.

A late-stage AI cloud company backed by NVIDIA with a valuation in the billions, running AI compute from data centers globally. They build dedicated, isolated GPU clusters for customers and maintain a fast-paced, engineering-driven culture.

Europe

  • Own network solutioning for k0rdent AI, designing GPU cluster interconnects and multi-tenant isolation.
  • Publish reference architectures and run proofs of concept on real hardware with customers.
  • Research emerging AI networking technologies and help shape the product roadmap.

Mirantis is a Kubernetes-native AI infrastructure company helping organizations build and operate scalable, secure infrastructure for modern AI workloads. It is committed to open standards, technical excellence, and a distributed, collaborative team culture.

US

  • Design, deploy, and maintain InfiniBand and RoCE network fabrics for GPU training and inference.
  • Manage data center switching, routing, and customer connectivity solutions.
  • Drive automation, capacity planning, and incident resolution across high-performance networks.

The hiring company builds and operates high-performance networks for GPU computing and AI workloads. Its infrastructure team focuses on scalability, reliability, and cutting-edge networking technologies.

$97,200–$113,400/yr
Global

  • Lead end-to-end technical deployments for GPU neocloud and AI Factory customers.
  • Configure and troubleshoot bare metal GPU infrastructure including CNI, GPU Operator, and storage.
  • Build playbooks and transfer knowledge to customer teams for self-sufficiency.

vCluster Labs provides a platform for AI infrastructure, helping GPU cloud providers and enterprises build Kubernetes-based clusters. They are a venture-backed startup with 40+ engineers and a remote-first culture, powering over 100,000 GPUs.

$135,000–$200,000/yr
US

  • Own end-to-end execution of high-stakes customer projects, working independently and with minimal supervision.
  • Deploy and support containerized software on edge devices and in air-gapped, on-premise environments.
  • Troubleshoot networking and systems issues, manage configuration, load balancing, container orchestration, and upgrades.

The company delivers software solutions for tactical edge environments. It operates as a small, customer-facing engineering team focused on high-stakes deployments.

$98,000–$150,000/yr
US

  • Own first response and resolution for issues across Kubernetes clusters, GitLab and CI runners, VMs, standalone systems, and demo environments.
  • Convert recurring issues into automation, alerts, and runbooks so repeat incidents decline.
  • Perform routine operational work, including upgrades, patching, certificate renewals, and capacity checks.

d-Matrix is focused on unleashing the potential of generative AI to power the transformation of technology. The culture is one of respect, collaboration, and humility, with an inclusive team that values direct communication and execution.

Global

  • Maintain, optimize, and troubleshoot IP networking components in a mission-critical Cisco Nexus datacenter network.
  • Collaborate with architects and engineers to improve network environments and execute network change requests.
  • Develop automation using Terraform, Ansible, and Python to streamline repetitive network operations.

Miratech is a global IT services and consulting company that helps enterprises with digital transformation. With nearly 1,000 professionals across 25 countries, it maintains a values-driven culture of Relentless Performance with a 99% project success rate.

$148,750–$201,250/yr
US 3w PTO

  • Lead network engineering and operations teams for enterprise, cloud, and data center infrastructure.
  • Design secure, scalable network architectures using Cisco Data Center, Palo Alto, and automation.
  • Support business development and strategic initiatives for government defense programs.

The hiring company is a technology organization delivering enterprise, cloud, and data center network infrastructure for government and defense programs. It fosters a mission-driven culture with a focus on innovation and operational excellence.

  • Lead technical bring-up of large-scale GPU clusters from physical installation to validated production readiness.
  • Execute NVIDIA diagnostics, NCCL performance tests, and acceptance criteria for commercial service.
  • Serve as Tier 3 escalation point for complex production incidents and drive root cause analysis.

Highrise AI is a GPU-native infrastructure platform providing scalable compute for AI workloads across dedicated clusters and managed cloud. As a subsidiary of Hut 8 Corp, it combines disciplined operations, automation, and on-site engineering to sustain high uptime and predictable performance.

North America

  • Design, build, and operate production Kubernetes platforms, owning cluster architecture, networking, reliability, and security.
  • Troubleshoot complex infrastructure issues across Kubernetes, Linux, networking, and cloud environments, and improve observability and automation.
  • Take ownership of critical infrastructure initiatives, incident response, and mentorship while working autonomously in a remote-first environment.

Our partner is a technology company building and operating large-scale Kubernetes platforms and complex production infrastructure. It is a remote-first organization with a focus on autonomy, technical ownership, and collaboration across North America and Latin America.

Global

  • Lead deployment and integration of ITVA across complex enterprise customer environments, including cloud, on-premises, and air-gapped infrastructure.
  • Implement AI-powered network operations, troubleshooting, visibility, and automation workflows.
  • Collaborate with ITVA's software engineers to translate customer challenges into product requirements.

ITVA builds an AI-native platform that combines network visibility, automation, troubleshooting, cybersecurity, and IT operations. ITVA is an engineering-driven company deploying into complex enterprise environments, focused on real-world impact.

GPU Engineer

Vultr
$135,000–$145,000/yr

  • Execute GPU node and cluster bring-up, validation, and automated testing across new hardware platforms.
  • Troubleshoot GPU and OS hardware/software issues, maintaining drivers, firmware, and system software.
  • Automate infrastructure with Python, Bash, and Ansible while monitoring cluster health and documenting processes.

Vultr provides high-performance cloud compute, GPU, bare metal, and storage solutions across 33 global data centers. It is a privately-held, employee-focused cloud infrastructure company valued at $3.5 billion with hundreds of thousands of customers.

Brazil

  • Own the network pillar of Sezzle's zero-trust program, including east-west segmentation and identity-aware transport across Kubernetes and AWS.
  • Implement network policies as code, mTLS, and telemetry to ensure every connection is explicit and attributable.
  • Collaborate with security, platform, and IAM teams to deliver private access and maintain security controls.

Sezzle is a fintech company on a mission to financially empower the next generation through interest-free installment plans and innovative payment solutions. The company fosters a dynamic, innovative culture with a diverse team of engineers, data enthusiasts, and creative thinkers.