Chaque année, 140M d’enfants viennent au monde. Les anomalies congénitales concernent 1 naissance sur 33 dans les pays développés, et dans 50% des cas, elles ne sont pas détectées à l’échographie. De fait, la médecine prénatale est une discipline particulièrement complexe, et les examens sont lourds de responsabilité pour les échographistes. Ils peuvent aussi être source de stress pour les futurs parents.
Riche de plus 5 ans de collaboration entre les experts mondialement reconnus de l’Hôpital Necker et de l’Ecole Polytechnique, Sonio utilise l’intelligence artificielle pour améliorer le dépistage et diagnostic prénatal. Fondée sur des algorithmes brevetés et une base de données experte propriétaire, Sonio veut devenir l’outil de référence pour aider les échographistes à améliorer le dépistage, diminuer les erreurs diagnostiques, et ainsi optimiser le parcours de soin des patients.
Sonio s’est donné pour mission d’améliorer la santé de la femme et de l’enfant en favorisant l’accès et la qualité des soins, par l’innovation technologique, l’expertise médicale et l’intelligence collective.
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, Sonio uses artificial intelligence to improve prenatal screening and diagnosis. Based on patented algorithms and a proprietary expert database, Sonio aims to become the reference tool to help practitioners improve screening, reduce diagnostic errors, and optimize pregnant women’s medical path.
Sonio'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.
About the role
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.
Your main mission will be to:
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.
Our infrastructure stack
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
About the profile
Sonio 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@sonio.ai.
En bref
Année de création
2020
Nombre d'employés
90
Âge moyen
33
Genre
55%
45%