- Executes software solutions, design, development, and technical
troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Creates secure and high-quality production code and maintains algorithms that
run synchronously with appropriate systems, including responsive, user-friendly UI components and workflows, and builds and maintains experience services (the API/service layer supporting front-end experiences), primarily using Java.
- Implements and integrates agentic capabilities — including workflow
orchestration, tool/function calling patterns, guardrails, and state management for agent flows — into applications and user journeys.
- Leverages enterprise-authorized AI coding assist tools within the work
environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), validating outputs through peer review, automated testing, and secure coding standards, and contributing learnings and reusable patterns to improve broader team effectiveness.
- Drives team adoption of enterprise-authorized AI-assisted engineering
practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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 in coding hygiene and system architecture.
- Collaborates with product, design, and backend teams to translate
requirements into reliable, performant solutions.
- Debugs issues across UI and services using basic SQL queries to validate
data, investigate defects, and support root-cause analysis and ensures code quality through reviews, testing, documentation, and adherence to engineering standards.