Owkin - Senior Data Backend Engineer

• Collaborate within a multi-disciplinary team of product managers, designers, software engineers, data engineers and machine learning and biomedical scientists. • Design, build, and maintain scalable, reliable data-intensive AI systems. • Drive technical decisions and provide context-aware solutions for AI systems in biological research. • Experiment with cutting-edge industry solutions—orchestration patterns, analytical DB (DuckDB, etc), distributed computing (AWS Athena, Trino, etc), integration with data platforms (Snowflake, Databricks, etc). • Lead core stack component development focusing on sustainability, scalability, security, reliability, and performance. • Foster team growth by sharing expertise and mentoring colleagues through code reviews, technical discussions, and knowledge sharing. • You’re driven by impact — excited to empower biomedical researchers with intuitive, AI-driven tools that unlock scientific discovery. • Strong collaborative skills with an open, pragmatic mindset; you thrive in multidisciplinary environments that involve people with diverse backgrounds. • Clear and effective communicator who can translate technical complexity into actionable decisions for the team. • Proven track record leading software development at scale in production environments. • Deep understanding of system architecture, infrastructure design, and building resilient distributed systems. • Extensive experience with production environments: continuous deployment, high availability, observability, and security. • Curiosity and ideally hands-on experience with AI systems — from integrating LLMs to managing their connection to data. • Passion for user experience and product thinking: you consider not only the system’s internals but how the end user interacts with and benefits from your work. • Proficiency with Claude Code and other AI software engineering tools • Fluent English, both written and spoken. • Stack: Python, DuckDB, Kubernetes, AWS