Mistral
NEW- Applied AI Engineer, Site Reliability Engineer - EMEA

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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.
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, operating like startup CTOs who own end-to-end project execution. Our SRE team works transversally across customer engagements, enabling value creation through Mistral tech - at scale. By joining the team you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.
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 the framework to ensure Mistral’s solution delivery is reliable and sustainable - and applied uniformly across all our accounts, both Mistral-hosted and customer-hosted. You should already have a strong understanding of what operational excellence looks like, and you’re ready to scale your impact.
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, implement observability.
- RUN - 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.
- ENABLE - Productize how Mistral deploy, secure, and scale our Applied AI solutions.
- Engineer on-demand provisioning, author security baseline packages, embed security guardrails, automate everything.
- SECURE - 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
This is a framework-first, fleet management role at heart. If you're excited by the difference between solving one customer's problem and structurally solving the class of problem for every customer, this is the role.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it.
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before.
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
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: 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.


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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.
By applying, you agree to our Applicant Privacy Policy.
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
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