ФранцияDevOps Engineering Intern
вчера
ФранцияTraineeHybrid
aws
DevOps / Platform Engineering intern role focused on building AI agents to assist with internal infrastructure management for a SaaS platform.
О компании
- Each year, 140M children are born. Birth defects affect 1 in 33 births in developed countries, and in 50% of cases, they are not detected during prenatal examinations. Prenatal medicine is particularly complex, and the scans impose heavy responsibilities on healthcare professionals. They can also be a source of stress for future parents.
- Resulting from 5 years of collaboration between world-renowned experts from Necker Hospital and Ecole Polytechnique, uses artificial intelligence to improve prenatal screening and diagnosis. Based on patented algorithms and a proprietary expert database, aims to become the reference tool to help practitioners improve screening, reduce diagnostic errors, and optimize pregnant women’s medical path.
- 's mission is to improve women's and children's health by promoting access and quality of care through technological innovation, medical expertise, and collective intelligence.
- is a mission-driven company so interest in our mission is critical. Other requirements are:
- Currently in Master 2 / Bac+5 of Engineering School or University, you are majoring in Computer Science and are looking for an internship lasting between 5 and 6 months,
- Good knowledge of AWS, Terraform, Kubernetes, and Git and CI/CD workflows,
- Solid scripting skills (Python or similar) and a security-minded approach to infrastructure changes,
- Strong interest in AI agents and LLMs applied to real engineering problems,
- Experience with ArgoCD, Helm or Datadog is a plus,
- You speak English and ideally French.
- We move fast and aspire to be transparent over the process - our objective is that the process from the first chat to an offer is no longer than a month. We also aspire to give an answer to every application in a week - if you have not heard from us, please follow up at careers@.ai.
Обязанности
- We are looking for a DevOps / Platform Engineering intern to join our Platform team (DevOps, Data and Staff Engineers), which runs the infrastructure behind our SaaS platform. As the platform grows, so do our internal operational requests. Your mission will be to find out how far AI agents can take this RUN work off our plate, without giving up control.
Другое
- Build an AI agent that turns internal infrastructure requests (provisioning a new service, managing AWS resources and access, environment variables or app configuration, Kubernetes or ArgoCD resources) into ready-to-review GitHub Pull Requests: Understand. The agent parses the request and picks the matching runbook.
- Generate. It produces the Terraform, Kubernetes or ArgoCD changes in our IaC repositories.
- Validate. It runs automated checks: tests, linting, and security and misconfiguration scans.
- Propose. It opens a traceable Pull Request for human review and approval.
- Design the guardrails that make this safe: least-privilege access, approval steps, and predictable, repeatable runs. The AI never changes production on its own, and engineers stay in control of every change,
- Deliver a working proof of concept on real internal requests, built so it can grow into a production-ready tool.
- The AI never changes production on its own. Engineers stay in control, and every change is reviewed, tested and traceable.
- Cloud: AWS, multi-region
- Infrastructure as Code: Terraform
- Containers & GitOps: Kubernetes on EKS, Helm, ArgoCD
- CI/CD: GitHub Actions
- Observability: Datadog
- Security & Compliance: vulnerability and misconfiguration scanning, least-privilege IAM, and a HITRUST/SOC2-driven change process
- Backend: Elixir/Phoenix