Senior Software Engineer - Kubernetes

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.

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. Responsibilities include:

• Design, implement, and maintain cloud-based infrastructure and services at the intersection of agentic AI and petabytes of multimodal patient data.
• 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.
• Contribute to maintaining the confidentiality, integrity and availability of data (security by design, vulnerability reduction).
• Improve the modularity and the performance of our solution.
• Direct impact on K Pro users & Owkin products and other Owkin customers through enhanced performance and feature delivery.
• Create a user-friendly environment that accelerates the work of bioinformaticians, data scientists and researchers through streamlined data access, efficient processing, and seamless project collaboration.
• Strengthen Owkin's data network with academic partners by enabling them to share their data securely and easily.

This role offers the opportunity to work at the intersection of AI engineering with biomedical research and clinical development.

Qualifications:

• 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.
• 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.
• Experience in architectural design of complex systems, especially for complex data at scale.
• 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.
• Frontend skills.
• Knowledge in healthcare or biomedical domains.

Flexible work organisation. Opportunity to work with an international team with high technical and scientific backgrounds.