About us
Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster.
Position is based in our Paris office or remotely in France, UK, Germany.
Please submit your CV in English
About the role:
As a Senior Software Engineer in the Platform Services team at Owkin, you will build and maintain scalable data management and processing systems on cloud infrastructure.
These systems support complex biomedical research and business intelligence use cases across their full lifecycle.
You will ensure these systems meet high standards of privacy, security, and compliance.
In particular, you will:
Design, implement, and maintain cloud-based infrastructure and services at the intersection of agentic AI and petabytes of multimodal patient data.
Own specific critical platform components end-to-end.
Drive technical standards, architectural reviews, and best practices across the engineering department.
Mentor junior/mid-level engineers.
Contribute to the design and evolution of our product architecture across a number of use cases of scalable scientific computing, data processing and AI engineering.
Collaborate with software engineers, data engineers, researchers and data scientists to understand their needs and implement solutions that enhance their productivity.
Support and improve our CI/CD pipelines, development workflows, and security practices.
Participate in incident response to ensure high availability and reliability.
Contribute to maintaining the confidentiality, integrity and availability of data (security by design, vulnerability reduction).
Improve the modularity and the performance of our solution.
Improve the observability of the stack and increase its resiliency.
Contribute to and improve our development tooling and processes.
Impact on stakeholders:
Direct impact on K Pro users & Owkin products and other Owkin customers through enhanced performance and feature delivery.
Bioinformaticians, data scientists and researchers: you will help create a user-friendly environment that accelerates their work through streamlined data access, efficient processing, and seamless project collaboration.
Owkin partners: you will strengthen Owkin's data network with academic partners by enabling them to share their data securely and easily.
Amplifying the productivity of Owkin developers as part of a platform services team working on transversal platform features.
This role offers the opportunity to work at the intersection of AI engineering with biomedical research and clinical development
About you
More than a list of requirements, we are looking for a skilled individual with a “can do” mindset, able to mobilize their experience to deliver value as part of a team. Autonomy in learning and delivering is valued as much as being able to embrace the culture and processes.
Required:
Significant experience (typically 7+ years) as a software engineer, demonstrating technical leadership in designing, deploying, and operating critical cloud infrastructure at scale.
Experience with either python or golang.
Strong experience in Docker.
Experience using AI tools (e.g., Claude Code) to improve software engineering efficiency and productivity
Management of cloud infrastructure as code, using terraform and kubernetes on AWS, Azure or GCP
Demonstrated attention to quality and software engineering processes, including observability and security: we run what we build.
Full professional proficiency in English and async communication: our team is distributed across Europe.
Preferred qualifications / bonus skills:
Familiarity with scientific or biomedical use cases (research and application)
Experience in AI and agentic AI applications
Experience in Data Engineering
Experience with MLOps practices
Frontend skills
Knowledge in healthcare or biomedical domains
#LI-MD1
What we offer
Flexible work organization
Friendly and informal working environment
Opportunity to work with an international team with high technical and scientific backgrounds