Python Software Engineer III

In this Software Engineer III role within Corporate Technology, you will be a senior contributor shaping trusted, market-leading tech products with a focus on security, stability, and scalability. You’ll work in an agile, diverse team to deliver impactful software solutions across business functions, driving continuous improvement through data insights and modern development practices. You’ll leverage AI-assisted tooling responsibly to boost quality and speed, while upholding secure coding standards. This is a hands-on, collaborative role that emphasizes learning and innovation in a complex, enterprise environment.

• Execute end-to-end software solutions across design, development and troubleshooting to address complex problems
• Develop secure, high-quality production code and maintain algorithms synchronized with systems
• Produce architecture and design artifacts for complex applications ensuring constraints are met
• Analyze large, diverse data sets to support continuous improvement and reporting
• Identify patterns in data to drive improvements in code hygiene and system architecture
• Contribute to engineering communities of practice and explore new technologies
• Foster a diverse, inclusive, collaborative team culture
• Leverage enterprise-authorized AI coding assist tools to improve code quality, speed, and productivity with peer review and secure coding standards
• Apply SDLC tools and automation to maximize impact of development efforts

• Formal training or certification in software engineering concepts with practical applied experience
• Hands-on experience in system design, application development, testing, and operational stability
• Proficiency in one or more programming languages
• Experience developing, debugging, and maintaining code in a large-scale environment with modern programming and database querying languages
• Solid understanding of the Software Development Life Cycle and agile practices including CI/CD, resiliency, and security
• Knowledge of software applications and technical processes in areas like cloud, Databricks, AI/ML, mobile, etc.
• Hands-on experience with AI-assisted development tools and ability to critically evaluate AI outputs
• Understanding of responsible AI use, data sensitivity, secure handling, resiliency and security expectations

• collaboration
• inclusion
• continuous learning
• AI-assisted software development tools
• cloud technologies (AWS)
• Databricks