Top Engineering Jobs

Build and own scalable healthcare data applications, including Snowflake data pipelines, data-sharing solutions, backend services, and React interfaces. Use Python, PySpark, Airflow, Prefect, Terraform, Docker, and observability tools to deliver robust, compliant systems. Collaborate with oncologists, product leaders, and data scientists, translate regulatory requirements into technical solutions, and mentor junior engineers.

Leads global developer platform and AI infrastructure capabilities supporting approximately 300 software and data engineers. Responsibilities include platform strategy, high-availability infrastructure, internal IT operations, AI tooling and governance, cost and security controls, enterprise AI adoption, and development of high-performing engineering leadership teams.

Design, build, automate, and operate cloud-native network infrastructure to ensure reliability, performance, and observability. Drive test-driven infrastructure changes, support office networking, participate in on-call rotations, incident escalations, code/config reviews, and produce documentation and playbooks for the engineering organization.

Design and build complex, business-critical data pipelines and tooling; expand Deep Learning and LLM extraction for clinical insights; collaborate with clinicians, product, and scientists; shape team roadmaps and grow European engineering; iterate rapidly while maintaining quality, security, and compliance with healthcare data requirements.

Design and build complex, business-critical data pipelines and ML/LLM-powered clinical extraction systems. Collaborate with clinicians, product, and global engineering teams to scale solutions, maintain quality and security, and help grow the European engineering organization while developing UK healthcare domain knowledge.