Senior Network Engineer

Mirantis•Campbell, CA

32d•Onsite

About The Position

Mirantis is seeking a Senior Network Engineer to join our IT team in a hands-on role spanning two areas: the networking that underpins our internal AI labs, and the broader company network infrastructure. This is the second dedicated networking role on the team, working alongside our existing network engineer in Europe to scale a function that has grown well beyond what one person can carry. The role is based in Silicon Valley, with regular on-site presence expected at our local datacenter/colocation facilities. As Mirantis invests in AI compute, the lab environments behind it have become critical infrastructure that IT operates as a shared platform — engineering groups across the company consume them as tenants. Our job is to make that possible: high-throughput fabric for GPU and compute-intensive workloads, clean segmentation between tenants, and reliable connectivity back to corporate and cloud environments. This is a hardware-, networking-, and architecture-focused mandate — building and running the underlying infrastructure, not the AI/ML work that runs on top of it. In parallel, our day-to-day company network — offices, datacenter/colo presence, cloud interconnects, and remote access — requires ongoing engineering ownership rather than best-effort maintenance. In this role, you will design, build, and operate the network and physical infrastructure for the AI labs and evolve it as demand grows, while sharing responsibility for the corporate and datacenter network. You will work close to the hardware where it matters, partner with the IT, Security, and engineering teams who depend on these environments, and help establish the standards and documentation that let this function scale as a proper team.

Requirements

5+ years of experience in a Network Engineering role, with networking as the core of your background.
Strong hands-on experience designing and operating switching and routing in datacenter and/or colocation environments — spine/leaf or top-of-rack fabrics, VLANs, VXLAN/EVPN, BGP/OSPF, and structured cabling.
Solid experience with firewalls, ACLs, VPNs (site-to-site and remote access), and network segmentation. Vendor experience with the likes of Cisco, Arista, Juniper, Palo Alto, or Fortinet.
Comfortable working physically on-site in a datacenter — racking, cabling, cross-connects, and troubleshooting at the hardware level — and coordinating remote-hands or contractor work at sites without direct access.
Working knowledge of server hardware — provisioning, firmware/BMC management (iDRAC/iLO), and physical troubleshooting — with the willingness to own the compute layer alongside the network.
Experience with cloud and hybrid connectivity (AWS interconnects, VPN, SD-WAN) and how on-prem, colo, and cloud environments fit together.
Familiarity with network monitoring and observability (e.g., SNMP-based tooling, NetFlow, Prometheus/Grafana, or similar) and using it for capacity planning.
Scripting/automation and network automation or Infrastructure as Code (Python, Bash, Ansible, Terraform, or similar) — hands-on experience is a strong plus; alternatively, a demonstrated ability and strong desire to pick these up quickly.
Prior experience with on-call rotations and incident management.
Good understanding of network and infrastructure security fundamentals — least-privilege access, secure management planes, and segmentation.
Strong communication skills and the ability to document standards, runbooks, and architectural decisions clearly.

Nice To Haves

High-throughput and GPU/AI cluster networking (RDMA/RoCE, InfiniBand, high-speed Ethernet) — existing experience is a strong plus; alternatively, a strong desire and ability to ramp up quickly in this area.
Experience with SOC 2, ISO 27001, or similar compliance frameworks is a plus.

Responsibilities

Design, build, and operate the network fabric for our internal AI labs — high-throughput switching for GPU and compute-intensive workloads, with the segmentation needed to run them as a shared platform for engineering groups across the company. Own capacity planning and expansion as demand grows.
Own the physical and logical infrastructure at our Silicon Valley datacenter/colocation facility — network fabric, rack and cabling standards, cross-connects, power/port planning, and hands-on structured work, with regular on-site presence for buildout, changes, and troubleshooting. Operate the network at our other datacenter locations as well (including in Europe), where physical work is handled through contractors or remote hands rather than direct access.
Provide hands-on support for server and datacenter hardware — racking, cabling, provisioning, firmware/BMC (iDRAC/iLO) management, and physical troubleshooting. Perform this work directly on-site where practical, or coordinate it through third-party contractors and remote-hands services as needed.
Share ownership of the day-to-day company network — offices, LAN/WLAN, remote access, and connectivity between on-prem/colo, corporate, and cloud environments (site-to-site VPN, cloud interconnects such as AWS, and SD-WAN where appropriate) — alongside our existing network engineer in Europe. Bring these environments up to a consistent, well-engineered standard rather than best-effort maintenance, ensuring routing, redundancy, and performance meet the needs of both the AI labs and corporate users.
Partner with Corporate/Product Security to operationalize network security baselines — firewall policy, ACLs, network access control, least-privilege segmentation, and secure management planes across all environments.
Implement and maintain network and infrastructure monitoring, alerting, and traffic visibility across labs, datacenter, corporate, and cloud environments. Use it to catch issues early, plan capacity, and inform architecture decisions.
Establish network and infrastructure standards, runbooks, and clear architecture documentation as this function scales into a proper team. Automate configuration and repetitive operations (IaC / network automation) to reduce manual work and drift.
Participate in an on-call rotation to respond to network and infrastructure incidents across labs and corporate environments. Triage and resolve production issues, perform root cause analysis, and contribute to post-incident reviews to prevent recurrence.