2026-7854 Software Engineer (Mid Shift)

Schedule: Mid Shift The Position: 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 not only for hands-on engineering delivery, but also for 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. The Software Engineer is expected to mentor engineers, influence architectural direction, and ensure production stability of analytics-enabled applications. Job Responsibilities: Technical Leadership & Architecture - 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. - Ensure adherence to secure coding standards, performance benchmarks, and enterprise engineering guidelines. Software Development & Engineering - 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. - Ensure high-quality code through code reviews, unit testing, and technical documentation. DevOps, Cloud & Automation - Lead and improve CI/CD pipelines using Azure DevOps to enable automated testing, deployment, and monitoring. - Collaborate with DevOps and platform teams to optimize cloud resource utilization, cost efficiency, and system resilience. - Support production releases, incident response, root-cause analysis, and continuous improvement initiatives. Application Support & Operations - Provide Level 3 application support for analytics platforms, including issue investigation, resolution, and post-incident reviews. - Proactively identify risks and performance bottlenecks and escalate critical issues when required. - Partner with business and analytics stakeholders to ensure solutions meet functional and operational requirements. Collaboration & People Development - 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. - Act as a technical point of contact for analytics engineering initiatives within the region. Required Skills: - 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 Technical Skills: Required (R) / Optional (O) Python R