Network Development Engineer, Data Center Fabrics

Mistral AI is hiring a Network Development Engineer, Data Center Fabrics for a remote role open to applicants in France. Level rates it ; you can apply on Mistral AI.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
The posting lists this role as remote.
Level lists 234 other open roles at Mistral AI.

AI in this role

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

As a Network Development Engineer, 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.

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 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.

What We’re Looking For

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 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.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

How we rate this

Network Development Engineer, Data Center Fabrics at Mistral AI rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.