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

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