Source description
About the role
Must
• Strong Python back‑end engineering experience (FastAPI)
Solid experience designing and consuming REST APIs, including integration with other services/platforms
Experience working with complex, data‑driven applications (analytics, simulators, optimization / decision‑support systems)
Ability to work confidently with an existing codebase: understand it, extend it, stabilize it
Comfortable collaborating with Data Science teams and translating modelling / optimization logic into backend services
Familiarity with cloud‑based (AWS) production environments with an understanding of how backend services are deployed and operated in production
Experience with standard engineering best practices (error handling, logging, performance awareness)
Basic DevOps awareness (working with existing CI/CD pipelines, deployment processes, and production diagnostics - no infrastructure ownership expected)
Preferred
• Exposure to Dataiku DSS or similar DS execution platforms (navigation and understanding is sufficient; not expected to rebuild pipelines)
Pharma or commercial analytics context
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