Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Extensive experience designing, consuming, and troubleshooting APIs, including REST APIs and BI platform integrations
Working experience with Python for automation, data processing, or BI development
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Experience using GitHub Copilot and understanding techniques for integrating AI-assisted development into team workflows
Ability to translate business requirements into secure, accessible, maintainable dashboards and data visualizations
Experience validating data accuracy and dashboard functionality, usability, and performance
Experience with ETL tools such as Alteryx
Preferred qualifications, capabilities, and skills
Familiarity with modern front-end technologies
Strong analytical, problem-solving, organizational, written, and verbal communication skills
Ability to build effective relationships, document technical solutions, and work effectively in Agile delivery teams
Exposure to cloud technologies
