Owkin is hiring a
Solution Architect

Summary

Join Owkin, an AI biotechnology company, as a Solutions Architect to design the IT architecture for their new Software as a Medical Device and create a platform to gather medical data used to develop future software products.

Requirements

• MS or BS or equivalent degree in computer science or software engineering or an associated field
• At least 5 years of experience in architecture design as a Solutions Architect (or equivalent position) on critical infrastructure for industries such as healthcare, insurance, finance or military
• Good knowledge in several areas amongst : Public Cloud (AWS, GCP), Data Storage, Network (NAT, VPN, firewall), Operating Systems (Linux) and Hypervisor, Containers & orchestration : Docker, Kubernetes, Automation : Flux, Ansible, Terraform, DevOps, GitOps, CI/CD, APIs, Security (in particular ISO 27001)
• Highly organized and meticulous about details, capable of tackling complex problems logically and effectively, able to deliver in a dynamic and fast-paced environment
• Good communication and efficient interaction with stakeholders, promotion of partnership spirit, fluent in English (French is a plus), able to coordinate several threads of discussions & projects in parallel at various stage of progress

Responsibilities

• Lead technical presentations and workshops dedicated to design the target solution with Partners' IT teams (hospitals, private labs, research labs...) and/or within Owkin
• Be in touch with a wide range of technologies (DevOps, GitOps, Open Source software) and infrastructure (from physical server via lower layers to Kubernetes architecture concepts & solutions)
• Provide detailed specifications for the proposed IT solutions including hosting specifications, network flow matrix, RACI and security, and document them
• Contribute to Infra as Code (documentation, scripting) with the DevOps team
• Work in a multidisciplinary team of solution architects and SREs in charge of deployment and IT architecture
• Collaborate with the applicative team including machine learning engineers and software engineers

Benefits

• Flexible work organization
• Friendly and informal working environment
• Opportunity to work with an international team with high technical and scientific backgrounds