2026-7854 Software Engineer (Mid Shift)

Job description

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 Application Development and Support Experience R API Development (REST) R Cloud/Container/Serverless Technologies R Azure Functions, Container Apps, Storage, SQL R CI/CD (Azure DevOps or equivalent) R Unit Testing & Code Quality Practices R Design & Architecture O Monitoring Tools (Dynatrace, Splunk, Azure Insights) O Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a related field Equivalent professional experience may be considered in lieu of formal education AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership.