--- title: 'DevOps Engineering Intern at Sonio' canonical: 'https://feeny.ai/job/devops-engineering-intern-sonio-paris-8kaabgm88pwe' type: 'job' last_seen: '2026-11-12' --- # DevOps Engineering Intern at Sonio - **Company:** Sonio - **Location:** Paris, France - **Employment:** internship - **Work type:** hybrid - **Posted:** 2026-11-10 - **Last confirmed live:** 2026-11-12 - **Apply:** https://jobs.ashbyhq.com/Sonio/6f4f1614-75d8-42ed-9872-c5e32cf5abd5 ## Job description ## About Sonio 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. ## About Sonio ## Company Overview - **One-liner**: Sonio is an AI-powered cloud-native platform that standardizes and automates fetal ultrasound workflows for OB-GYN practices to improve maternal and children’s health. - **Entity Type**: Private (acquired by Samsung Medison in September 2024) - **Headquarters**: Paris, France (147 Rue d'Aboukir, 75002 Paris); additional offices in Boston, MA and New York, NY - **Founded**: 2020 - **Founders**: Cécile Brosset (CEO and co-founder) ## Core Business - **Primary industry**: Healthcare IT / MedTech (focused on prenatal care and diagnostic imaging) - **Target customers**: B2B; OB-GYN practices, Maternal-Fetal Medicine (MFM) specialists, sonographers, clinical executives, and hospital IT teams - **Mission/purpose statement**: “Give access to high-quality prenatal care everywhere” – the company aims to empower healthcare professionals to deliver high-quality prenatal care through technological innovation, medical expertise, and collective intelligence. ## Products & Services - **Sonio Platform (Core)**: A secure, cloud-native, AI-powered* software platform that automates and standardizes fetal ultrasound workflows from image acquisition and reporting to quality review and billing. - **Sonio Detect (AI Module)**: An FDA 510(k) cleared and CE-marked AI module that combines image analysis and OCR neural networks to provide real-time feedback on exam image quality and completeness. - **Image Management**: Organize, measure, and annotate ultrasound images and videos; automatic sorting of views and images. - **Reporting**: Automated report generation with population of fields based on ultrasound findings; share reports via fax or secure patient app. - **Practice Analytics**: Dashboards and insights into practice performance for informed decision-making and personalized training plans. - **Billing Integration**: CPT & ICD10 coding, integrated billing and charge capture, DFT interface support. - **Integrations**: Compatible with all ultrasound machine manufacturers; integrates with EHR (HL7, FHIR), PACS/VNA, DICOM worklist, IMO, LOINC, and eFAX. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed as an independent entity; acquired by Samsung Medison in September 2024 (terms not publicly disclosed). - **Key Metric**: Total disclosed funding of €28M prior to acquisition (€5M seed in June 2022, €10M EIC Accelerator in January 2023, €13M Series A in July 2023). - **Notable Investors/Partners**: Samsung Medison (acquirer), European Innovation Council (EIC Accelerator), and prior Series A investors. - **Growth Signals**: - Acquired by Samsung Medison in September 2024 — a major strategic exit and validation of the technology. - FDA 510(k) clearance for Sonio Detect (July 2023). - Offices in three major hubs (Paris, Boston, New York). - 75 total employees as of latest data. - Expanding AI capabilities in collaboration with Samsung Medison, targeting global prenatal care transformation. ## Competitive Advantages - **Regulatory Moat**: FDA 510(k) cleared and CE-marked AI modules — a significant barrier to entry in medical software. - **Strategic Backing**: Acquired by Samsung Medison, providing deep resources, global distribution, and integration with ultrasound hardware. - **Full Workflow Coverage**: Only platform that spans image acquisition, AI-assisted quality control, reporting, analytics, and billing in one cloud-native solution. - **Security & Compliance**: HIPAA/HITECH, EU-GDPR, SOC2 Type 2, ISO 13485, and HDS certified — enterprise-ready. - **Vendor Agnostic**: Compatible with all ultrasound machine manufacturers, not locked to any single hardware ecosystem. ## Strategic Focus - **Global Expansion**: Leveraging Samsung Medison’s global reach to scale prenatal AI solutions worldwide. - **Deepening AI Capabilities**: Continued development of AI for image analysis and clinical decision support in obstetrics and gynecology. - **Women’s & Children’s Health**: Expanding beyond fetal ultrasound into broader maternal and pediatric health applications. - **Integration & Interoperability**: Enhancing seamless connections with EHRs, PACS, and billing systems to reduce clinical burden. ## Why Work Here - **Mission-Driven**: Direct impact on maternal and children’s health — reducing missed birth defects and improving prenatal care quality globally. - **Workplace Policy**: Hybrid workspace (combination of remote and on-site work); offices in Paris (HQ), Boston, and New York. - **Engineering Culture**: Focus on cloud-native architecture, AI/ML, security, and regulatory compliance — challenging technical environment. - **Growth Stage**: Recently acquired by Samsung Medison, offering the stability of a large parent company with the agility of a startup culture. - **Notable Perks**: Relocation support available (e.g., Senior Clinical & AI Product Manager role includes Korean speaking and relocation support); automatic software updates and zero maintenance costs for clients reflect a modern DevOps approach. - **Team Size**: ~75 employees — intimate, collaborative environment. ## Sources 1. [sonio.ai](https://www.sonio.ai/) 2. [sonio.ai/about-us](https://www.sonio.ai/about-us) 3. [linkedin.com/company/sonio](https://www.linkedin.com/company/sonio) 4. [builtin.com/company/sonio](https://builtin.com/company/sonio) 5. [jobs.ashbyhq.com/Sonio](https://jobs.ashbyhq.com/Sonio) ## Other roles at Sonio - [Data Science Internship](https://feeny.ai/job/data-science-internship-sonio-paris-91te50pzxwkj) — Paris, France - [Software Engineer Intern](https://feeny.ai/job/software-engineer-intern-sonio-paris-ny6cj5j0ee6d) — Paris, France - [Solution Engineer](https://feeny.ai/job/solution-engineer-sonio-boston-8xw4cy7v54te) — Boston, MA - [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-sonio-paris-0t0fgswfpw76) — Paris, France - [QA Manager](https://feeny.ai/job/qa-manager-sonio-paris-9e0g8sx7227k) — Paris, France - [Director of Clinical Affairs](https://feeny.ai/job/director-of-clinical-affairs-sonio-boston-ens1at2hnyn6) — Boston, MA - [Clinical Data Analyst intern](https://feeny.ai/job/clinical-data-analyst-intern-sonio-paris-gcnvfqyy566x) — Paris, France - [Spontaneous application](https://feeny.ai/job/spontaneous-application-sonio-paris-rkf6jn85e91y) — Paris, France - [DevOps Engineering Intern](https://feeny.ai/job/devops-engineering-intern-mastercontrol-1bfywcny7d9m)