Job Description
Insight Global is seeking a Senior Python Backend Engineer to support a client building complex, data-driven applications. This role will focus on designing, extending, and stabilizing backend services that power analytics, optimization, and decision-support systems in a cloud-based production environment.
Design, build, and maintain backend services using Python and FastAPI
Develop and consume REST APIs, integrating with internal and external platforms
Translate data science models and optimization logic into scalable backend services
Work within an existing codebase to enhance functionality, improve stability, and resolve issues
Collaborate closely with Data Science and Analytics teams
Ensure backend services are production-ready, with proper error handling, logging, and performance awareness
Support deployments in AWS environments and work within existing CI/CD pipelines
Document system architecture, integrations, and data flows
Proactively communicate progress, risks, and blockers while working independently
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
Strong backend engineering experience with Python (FastAPI)
Solid experience designing and consuming RESTful APIs
Background working on complex, data-driven systems (analytics, simulators, optimization, or decision support)
Experience supporting applications in AWS production environments
Understanding of engineering best practices (logging, error handling, performance)
Basic DevOps awareness (CI/CD pipelines, deployments, production diagnostics)
Strong communication skills and ability to work independently Exposure to Dataiku DSS or similar data science execution platforms
Experience in pharma, life sciences, or commercial analytics environments
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