Applied AI Engineer, Site Reliability Engineer

Role Overview

• Build and operate the framework to ensure Mistral’s solution delivery is reliable and sustainable.
• Design for a fleet of Mistral platforms and apps. Build proactivity to reduce reactivity.
• Productize reliability, author runbooks, create SLO templates, implement observability.
• Operate the Tier-1 customer environments that Mistral are contracted to operate.
• Ensure SLO compliance, own on-call and incident response, manage drift.
• Partner with Technical Support as L3 escalation, champion high signal post-mortems.
• Productize how Mistral deploy, secure, and scale our Applied AI solutions.
• Engineer on-demand provisioning, author security baseline packages, embed security guardrails, automate everything.
• Own the security operations layer for our customer-side deployments.
• Lead CVE response across the fleet, ship supply-chain integrity controls (SBOM, signed images, provenance), co-page with InfoSec on security incidents, enforce secure-config baselines.

Requirements

• 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: you treat secure-SDLC, CVE response, and supply-chain integrity as reliability properties of the shipped artifact, not as someone else's job.
• Strong written communication skills: runbooks, post-mortems, and customer-facing incident comms are core deliverables of this role.
• Comfortable operating with high autonomy in an ambiguous, fast-paced environment — and disciplined enough to defend the team's scope when work tries to spill in.
• Solid Linux internals, networking debug, and distributed-systems fundamentals.
• Strong plus: cloud or application security background (AppSec, K8s security, supply chain — SBOM, cosign, SLSA). At least one of our early hires must bring this; if it's you, flag it.
• 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, particularly in SRE, observability, or security tooling.

Tech Stack

• Ansible
• AWS
• Azure
• Cloud
• Google Cloud Platform
• Grafana
• Kubernetes
• Linux
• Prometheus
• Python
• SDLC
• Terraform
• Go

Benefits

• Flexible working hours
• Professional development opportunities