• Architect and build a highly performant, intuitive, and data-rich user interface using React and TypeScript. • Co-own the frontend architecture — component design, state management, and overall structure. • Work closely with product, design, and backend engineers to define user experience. • Ship production code from week one and deliver significant user-facing features within three months. • Leverage AI and agentic coding tools to accelerate development. • Mentor other engineers and drive frontend best practices across the team.

• Design, develop, and maintain websites and software applications across the full development lifecycle • Manage and optimize content using CMS platforms, ensuring scalability and performance • Apply best practice development methodologies, including testing, quality assurance, and continuous improvement • Administer and enhance web platform technologies including Sitecore XM, Apache Solr, and Sitecore Search

• Lead engineering solutions to Salesforce e-commerce applications • Ensure design and development are leverageable across brands/regions • Oversee development including mentoring and coaching developers • Establish and maintain engineering guidelines including test driven development • Drive technical process improvements to Kontoor’s site release strategy • Manage technical debt and complexity reduction • Ensure engineering solution design and development are flexible, maintainable, secure, and performant • Provide eCommerce technical expertise • Create, communicate, and maintain best practices and coding standards

• Lead the design and delivery of full-stack applications using modern front-end, back-end, and cloud-native technologies • Guide adoption and integration of AI/ML technologies (e.g., predictive analytics, intelligent automation, personalization, risk modeling) into enterprise platforms • Partner with Architecture and Data teams to ensure AI/ML solutions are scalable, explainable, secure, and compliant • Establish and enforce engineering best practices for code quality, testing, CI/CD, observability, and reliability • Collaborate with Security, Risk, and Compliance teams to embed controls into the SDLC • Support audit readiness, model governance, and documentation standards for AI/ML solutions • Drive data governance, privacy, and responsible AI practices • Build, scale, and lead high-performing full-stack engineering teams, including engineers, data engineers, and ML practitioners • Manage and mentor Engineering Managers, Tech Leads, and senior engineers • Own hiring strategy, onboarding, performance management, and career development • Foster a culture of accountability, innovation, and continuous learning • Lead multiple Scrum teams and ensure consistent application of Agile/Scrum practices • Partner with Product Owners and Scrum Masters to manage backlogs, sprint planning, and delivery commitments • Drive predictable, high-quality delivery through metrics such as velocity, cycle time, and defect rates • Remove impediments and manage cross-team dependencies • Oversee the end-to-end lifecycle of AI/ML solutions, including data pipelines, model development, deployment, and monitoring • Translate business and product strategy into engineering roadmaps and execution plans • Balance short-term feature delivery with long-term platform scalability and technical debt reduction • Manage risks, trade-offs, and dependencies across teams and programs