Applied AI Engineer, Site Reliability Engineer - EMEA

About the Team

The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre‑sales through implementation to deploy cutting‑edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills and operates like startup CTOs who own end-to-end project execution. Both SRE and cross-functional roles enable value creation at scale.

About the Job

You will be one of the founding engineers of the Applied AI SRE sub‑team. Your mission, alongside the team, is to build and operate a framework that ensures Mistral’s solution delivery is reliable and sustainable across all accounts, both Mistral‑hosted and customer‑hosted. You will operate in four concurrent modes:

• BUILD – Design for a fleet of Mistral platforms and apps. Build proactivity to reduce reactivity, productize reliability, author runbooks, create SLO templates, and implement observability.
• RUN – Operate Tier‑1 customer environments. Ensure SLO compliance, own on‑call and incident response, manage drift, partner with Technical Support as L3 escalation, and champion high‑signal post‑mortems.
• ENABLE – Productize how Mistral deploys, secures, and scales Applied AI solutions. Engineer on‑demand provisioning, author security baseline packages, embed security guardrails, and automate processes.
• SECURE – Own the security operations layer for customer‑side deployments. Lead CVE response, ship supply‑chain integrity controls (SBOM, signed images, provenance), co‑page with InfoSec on incidents, and enforce secure‑config baselines.

This is a framework‑first, fleet management role. If you are excited by solving the class of problem for every customer rather than an individual customer’s issue, this is the role.

About You

• Fluent in English.
• 5+ years in SRE, Production Engineering, or DevOps, with a record of shipping tooling.
• Strong multi‑tenant Kubernetes fluency: namespace segmentation, network policy, RBAC, admission control, operations at scale.
• On‑call discipline: incident response, blameless post‑mortem culture, runbook‑first mindset.
• Observability stack in production: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Signoz.
• Infrastructure as code: Terraform, Ansible (or close equivalents).
• Proficient in Python and/or Golang for tooling and automation.
• Security mindset: treat secure‑SDLC, CVE response, and supply‑chain integrity as reliability properties of the shipped artifact.
• Strong written communication skills: runbooks, post‑mortems, and customer‑facing incident communications.
• Comfortable operating with high autonomy in an ambiguous, fast‑paced environment – disciplined enough to defend scope.
• Solid Linux internals, networking debugging, and distributed systems fundamentals.

Strong Plus

• Cloud or application security background (AppSec, K8s security, supply chain – SBOM, cosign, SLSA).
• Experience operating LLM/model‑serving stacks in production.
• Experience with multi‑cloud or on‑prem hybrid customer environments (AWS, GCP, Azure, sovereign clouds).
• Open‑source contributions in SRE, observability, or security tooling.

By applying, you agree to our Applicant Privacy Policy.