Software Engineer - PYTHON (Mid Shift)

About the role

The Software Engineer will play a critical role in the design, development, and operationalization of predictive analytics platforms and analytical applications supporting enterprise-wide insurance analytics initiatives. This role sits within the Strategic Analytics function and is responsible for hands-on engineering delivery, technical leadership, solution design, code quality governance, and cross-functional collaboration with data scientists, actuaries, product owners, and business stakeholders across global teams. The position requires deep expertise in Python-based backend development, API-driven architectures, and Azure cloud services, with the ability to guide technical decisions in a fast-evolving analytics and cloud environment.

Key responsibilities

• Serve as a technical lead for analytics-enabled applications, APIs, and backend services supporting predictive models and analytical tools
• Contribute to solution architecture, design standards, and best practices for scalable, cloud-native analytics platforms
• Evaluate, recommend, and implement new technologies and frameworks aligned with Azure and analytics modernization initiatives
• Design, develop, and maintain Python-based backend services supporting analytical models and data-driven applications
• Lead the development and integration of RESTful APIs, ensuring reliability, scalability, and test coverage
• Build and support applications leveraging Azure Functions, Azure Container Apps, Blob Storage, and Azure SQL
• Lead and improve CI/CD pipelines using Azure DevOps to enable automated testing, deployment, and monitoring
• Provide Level 3 application support for analytics platforms, including issue investigation, resolution, and post-incident reviews
• Mentor and coach junior and mid-level engineers, fostering technical growth and engineering discipline
• Work closely with data scientists, actuaries, product owners, and global technology teams to translate analytical requirements into production-ready solutions

About you

• 8–12 years of professional experience in software engineering, backend development, or analytics platforms
• Strong, hands-on expertise in Python development for enterprise-grade applications
• Proven experience building and consuming RESTful APIs
• Experience with cloud-native and serverless architectures, preferably in Microsoft Azure
• Solid experience with SQL and data warehouse platforms (Azure SQL, Snowflake, or equivalent)
• Demonstrated experience supporting production systems and user-facing applications
• Strong analytical, problem-solving, and debugging skills
• Excellent communication skills, with the ability to collaborate across technical and non-technical teams
• Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field