Role: Software Engineer
Job Description
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.
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 elevate 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
Education
Bachelor's degree in computer science, Information Technology, Data Analytics, or a related field