Network Development Engineer (AI Infrastructure)

Location: Remote; listed locations include Paris, Amsterdam, Warsaw, Munich, London, and Berlin

Company

Mistral AI provides full-stack AI solutions, including frontier models, developer tools, applications, and compute for enterprises in high-stakes industries.

What you will do

• Design and evolve leaf-spine underlays, EVPN/VXLAN overlays, and tenant connectivity for multi-tenant AI infrastructure.
• Translate data-center fabric requirements into APIs, data models, validation, and automation.
• Build control-plane software that reconciles desired and observed network state.
• Develop safe change workflows with 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 on-call rotations, troubleshoot incidents, improve root causes, review designs and code, and develop lab and production tests.

Requirements

• Deep hands-on experience with Ethernet switching, IP routing, BGP-based leaf-spine fabrics, EVPN/VXLAN, and VRF-based multitenancy.
• Strong judgment in fabric underlay and overlay design, scale, convergence, isolation, and failure modes.
• Experience building or operating production network automation involving desired state, idempotency, concurrency, observability, and recovery.
• Strong software-engineering fundamentals in a general-purpose language, including designing, testing, debugging, and reviewing production systems; willingness 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, including 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 have

• 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.

Culture & Benefits

• Work in a dynamic, collaborative, low-ego, team-oriented environment with distributed teams across Europe, North America, Asia, and the Middle East.
• Benefits may vary by country and include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, and meal and transportation allowances.
• Location-specific benefits are provided according to the candidate’s location.