S

Sonio

AI-powered fetal ultrasound software for diagnosis

DevOps Engineer Intern - Platform

Platform EngineeringPosted on Nov 10
InternshipÎle-de-France, FranceNo salary listedHybrid

About the Job

Requirements

  • Currently pursuing a Master 2 / Bac+5 degree at an Engineering School or University, majoring in Computer Science, and seeking an internship lasting 5 to 6 months.
  • Have good knowledge of AWS, Terraform, Kubernetes, and Git and continuous integration/continuous delivery workflows.
  • Have solid scripting skills, such as Python, and a security-minded approach to infrastructure changes.
  • Have a strong interest in AI agents and large language models applied to engineering problems.
  • Speak English; French is preferred.

Responsibilities

  • Build an AI agent that converts internal infrastructure requests, including service provisioning, AWS resource and access management, environment variables or application configuration, and Kubernetes or ArgoCD resources, into ready-to-review GitHub pull requests.
  • Enable the agent to parse requests, select matching runbooks, generate Terraform, Kubernetes, or ArgoCD changes in infrastructure-as-code repositories, run tests, linting and security and misconfiguration scans, and open traceable pull requests for human review and approval.
  • Design safety guardrails, including least-privilege access, approval steps, and predictable, repeatable runs, ensuring the AI does not change production independently and engineers control every change.
  • Deliver a working proof of concept using real internal requests, designed to grow into a production-ready tool.

Desired Qualifications

  • Experience with ArgoCD, Helm, or Datadog.

About the Company

Sonio

AI-powered fetal ultrasound software for diagnosis

Sonio develops AI-based fetal ultrasound software to assist clinicians in analyzing prenatal ultrasound images and diagnosing congenital malformations. The software blends ultrasound semiology with patient medical history, genetic and biological data to provide decision support and guide physicians toward the most likely diagnosis, while also assisting sonographers during prenatal screening scans. It integrates into clinical workflows to deliver timely insights for healthcare providers and support for mothers and their babies. Unlike tools that rely on a single data type, Sonio combines multiple sources of information to help practitioners interpret scans more accurately and efficiently. The company’s goal is to improve the accuracy and speed of fetal anomaly screening and enhance maternal-fetal health outcomes.

Company size
51-200
Company stage
Acquired
Total funding
$19.5M
Headquarters
Paris, France
Founded
2020

Recently Posted Jobs

Explore more opportunities at Sonio

See more jobs