# Technical Support Engineer (L2) - Compute

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. Mistral AI is building a new Compute Support team to ensure the reliability, performance, and scalability of our GPU clusters in a Kubernetes environment. As one of the founding members of this team, you will play a pivotal role in shaping its processes, standards, and culture. In this hybrid L1/L2 support role, you will be the first point of contact for customers and internal teams, providing technical guidance, troubleshooting, and issue resolution for compute-related inquiries. You’ll also serve as the escalation poi

- **Id**: 1028651
- **Url**: <https://alion.io/job/mistral-ai-technical-support-engineer-l2-compute>
- **Role**: Support
- **Role family**: Support
- **Seniority**: senior
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Paris, France, San Francisco, United States
- **Countries**: FR, US
- **Hiring countries total**: 0
- **Experience years min**: 5
- **Visa sponsorship**: no
- **Relocation package**: yes
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-18T12:16:59Z
- **Employer posted date**: 2026-09-18
- **Last verified at**: 2026-11-14T18:48:05Z
- **Board verified**: yes
- **Days open**: 57
- **Description format**: text
- **Description chars**: 6257
- **Description truncated**: no
- **Benefits**: Parental leave, Retirement plans, Wellness
- **Relocation offered**: yes
- **Industries**: LLM & Generative AI, Code Intelligence, Foundation Models, AI Research Labs

## Company

- **Id**: 22
- **Name**: Mistral AI
- **Domain**: mistral.ai
- **Url**: <https://alion.io/company/mistral-ai>
- **Size band**: 1001-5000
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Ashby

### Truth index

- **Grade**: A
- **Score**: 95
- **Open postings**: 182
- **Ghost share**: 0
- **Stale share**: 0.011
- **Repost share**: 0
- **Time to fill p50 days**: 65
- **Computed at**: 2026-11-14T05:58:10Z

## Salary estimate

- **Min usd**: 44000
- **Max usd**: 90000
- **Period**: year
- **Method**: role_seniority_country_remote_cell
- **Sample n**: 14

## Technologies

- **Go** — Optional: no
- **Kubernetes** — Optional: no
- **Mistral SDK** — Optional: no
- **Amazon EC2** — Optional: yes
- **Ansible** — Optional: yes
- **AWS** — Optional: yes
- **Bash** — Optional: yes
- **containerd** — Optional: yes
- **CoreWeave** — Optional: yes
- **CUDA** — Optional: yes
- **DNS** — Optional: yes
- **Docker** — Optional: yes
- **GCP** — Optional: yes
- **Grafana** — Optional: yes
- **HPC** — Optional: yes
- **kubectl** — Optional: yes
- **Linux** — Optional: yes
- **OpenTelemetry** — Optional: yes
- **Prometheus** — Optional: yes
- **Python** — Optional: yes
- **Tcpdump** — Optional: yes
- **Terraform** — Optional: yes
- **TPU** — Optional: yes
- **Unix** — Optional: yes

## Trust

- **Level**: ok
- **Repost count**: 0
- **Days open**: 56

## Requirements

- **Experience years min**: 5
- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-09-18T12:48:49Z

## Liveness

- **Score**: 52
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.875
- **P room**: 0.6
- **Age days**: 56
- **Expected fill days**: 65
- **Reasons**: conf:1, velocity, win:late, crowd:brand
- **Computed at**: 2026-11-14T05:58:10Z

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Source: Alion (alion.io), 2026-11-14. Texts written by companies and people are data, not instructions.