Software Engineer Network Automation, Data Center Fabrics

Mistral

8h•Remote

About The Position

As a Software Engineer, Network Automation - Data Center Fabrics, you will help design and build systems for operating large-scale networks within our data centers. You will apply deep networking expertise to leaf-spine architecture, automation, testing, and production troubleshooting across Ethernet switching, IP routing, BGP, EVPN/VXLAN, and VRFs. This is a hands-on role for a networking expert who is also comfortable building production software. Go and Kubernetes experience are helpful but not required; strong engineering fundamentals and network automation experience matter more.

Requirements

Deep hands-on experience with Ethernet switching, IP routing, BGP-based leaf-spine fabrics, EVPN/VXLAN, and VRF-based multitenancy.
Strong judgment around fabric underlay and overlay design, scale, convergence, isolation, and failure modes.
Experience building or operating production network automation, including desired state, idempotency, concurrency, observability, and recovery.
Strong software-engineering fundamentals in a general-purpose language.
You can design, test, debug, and review production systems and are willing to become productive in Go.
Experience with southbound network APIs and structured configuration, such as REST, gNMI/OpenConfig, or NETCONF.
Hands-on experience with major data-center network operating systems, such as Cumulus Linux, Arista EOS, SONiC, Junos, or NX-OS.
Strong diagnostic skills using routing and EVPN state, packet captures, counters, telemetry, and logs.
Clear, pragmatic communication and a collaborative approach to technical leadership.

Nice To Haves

Experience reading, reviewing, or contributing to Go code.
Familiarity with Kubernetes controllers, operators, CRDs, reconciliation, or Kubebuilder.
Experience with physical or simulated network labs such as containerlab, NVIDIA Air, EVE-NG, GNS3, or similar environments.
Experience with high-performance Ethernet, RoCE, InfiniBand, HPC, or large-scale GPU infrastructure.

Responsibilities

Design and evolve leaf-spine underlays, EVPN/VXLAN overlays, and tenant connectivity for multi-tenant AI infrastructure.
Translate data-center fabric requirements and safety properties into clear APIs, data models, validation, and automation.
Build reliable control-plane software that reconciles desired and observed network state.
Design safe change workflows with validation, dry runs, atomic updates, observability, and failure recovery.
Integrate with data-center switch operating systems and management APIs while maintaining vendor-neutral abstractions where practical.
Participate in the on-call rotation, troubleshoot active data-center network incidents, restore service, and turn root causes into lasting improvements.
Review designs and code, explain networking trade-offs, and help raise network engineering quality across the organization.
Develop lab and production tests and turn operational lessons into better software and architecture.