Platform Security Engineer
Mistral AI
Platform Security Engineer
Mistral AI
Open-weight LLMs and enterprise AI deployment
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.
Role summary
As a Platform Security Engineer on the Security team, you will architect and maintain the security posture of our rapidly scaling AI infrastructure and application lifecycle. Security is not a gate but an enabler, and you will embed robust controls into our continuous integration and deployment pipelines, infrastructure environments, and developer workflows to protect our systems without sacrificing velocity.
Your role exists to ensure that our research and engineering teams can move fast while staying secure. You will shape how security integrates with every layer of our stack, from code to cloud, making secure practices invisible to developers and automatic by default.
What you will do
Drive threat modeling and risk prioritization exercises as the security counterpart in system-design reviews for core infrastructure and new products.
Own end-to-end vulnerability management across continuous integration and deployment pipelines and runtime environments, covering infrastructure and applications.
Secure our container orchestration deployments and containerized workloads, implementing advanced hardening to prevent lateral movement across distributed systems.
Define and enforce Infrastructure-as-Code security by building robust guardrails and integrating policy-as-code directly into deployment pipelines.
Design and execute a comprehensive security tooling strategy, managing solutions for cloud-native application protection, cloud security posture, static code analysis, dependency scanning, secrets management, and vulnerability tracking.
Champion developer enablement by building secure defaults, streamlining remediation workflows, and drafting actionable security guidelines.
Build foundational security automation to scale alongside hyper-growth, minimizing manual overhead while establishing a pragmatic security culture.
What we're looking for:
Five or more years of experience in Platform Security, Security Engineering, or Cloud Security, ideally as an early security hire in a fast-scaling environment.
Deep understanding of container orchestration and container security, alongside strong experience securing Infrastructure-as-Code across major cloud providers.
Strong programming and scripting skills in languages such as Python or Go to build security automation and integrate diverse security tools into developer workflows.
Extensive experience deploying and tuning modern security tooling with a pragmatic approach to vulnerability management and threat modeling.
Strong communication skills with a proven track record of partnering with developers and researchers to embed secure defaults without creating engineering friction.
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.
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Open-weight LLMs and enterprise AI deployment
Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.
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