> Markdown version of [/jobs/ext/3949759-software-engineer-golang-fleet-delivery](https://www.wearedevelopers.com/jobs/ext/3949759-software-engineer-golang-fleet-delivery). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer (Golang), Fleet Delivery

- **Company:** Mistral Inc
- **Location:** Paris, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Layers, Data Centers, Linux, Programming Tools, Network Interface Controllers, Firmware, Hardware Design, InfiniBand, Software Engineering, Graphics Processing Unit (GPU), Delivery Pipeline, Backend, Network Server, Golang, Programming Languages
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-golang-fleet-delivery-paris-tx--c4bc47d2-2436-4052-bbba-83942504d1b5

## About the Role

Software Engineering, Vehicle Fleets, Go Programming Language (Golang), Manufacturing, Programming Tools, Artificial Intelligence (AI), Government, Finance, Public Health, Team Player, * You have automated bare-metal fleets - you have written the software that turns racks into clusters. If you have done it by hand, you resented it and scripted it.

 * Hardware fluency: servers, GPUs, NICs, switches, firmware - you can read a parts list and a topology diagram.
 * 5+ years building backend or infrastructure systems.
 * Deep Linux: you are comfortable well below the application layer.
 * You have shipped production systems in Go. Not dabbled. Shipped.
 * Willing to travel to datacenter sites when the work demands it.
 * A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside.

## Description

A datacenter is not a cloud until software makes it one. You will build the software that turns arriving hardware into accepted clusters., * Build the delivery pipeline in Go: provisioning, configuration, validation, burn-in, network bring-up, software stack install.

 * Own time-to-acceptance and drive it down relentlessly - measure it, break it down, kill the slowest step first.
 * Work shoulder-to-shoulder with Hardware Design and Fleet Health - reliability starts at delivery.
 * Handle GPU fleets at scale: H100 and GB200-class nodes, InfiniBand and RoCE fabrics, and the failure modes they bring.
 * Partner with Product Managers and the datacenter org to plan delivery waves against capacity commitments.