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
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
7+ years' experience in React (including hooks, state management, and component architecture) and Python
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.
Strong proficiency in HTML, CSS, JavaScript, and modern ReactJS patterns with UI/UX design principles.
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in automation testing with experience in React Testing Library, Jest, and Python testing frameworks (pytest, unittest)
Experience in developing, debugging, and maintaining code in a large corporate environment with React and Python as primary languages, plus database querying languages
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.)
Preferred qualifications, capabilities, and skills
Experience with React ecosystem tools (Redux, Context API, Next.js) and Python libraries (NumPy, Pandas, FastAPI)
Exposure to cloud technologies and AI/ML
Django/Flask frameworks preferred