software engineer UI UX

Key Responsibilities

• Develop and maintain SFRA storefront features (PLP, PDP, Cart, Checkout, Account).
• Build reusable ISML templates, UI components, client-side JS, and CSS.
• Implement and extend SFRA controllers, middleware, hooks, and custom cartridges.
• Analyze functional requirements and translate them into scalable technical solutions.
• Support global releases, multi-site rollout, and localization/internationalization.
• Optimize site performance, caching, Core Web Vitals, and internal Data Models.
• Integrate with third-party services (SEO, AI, analytics, recommendations, payments).
• Ensure SEO best practices through semantic markup, metadata, structured data, and performance considerations.
• Ensure code quality through peer reviews, unit testing, and linting standards.
• Collaborate with QA for test planning, debugging, and Log Center issue resolution.

Qualifications

• 5+ years software engineering experience, 3+ years SFRA/SFCC development.
• Strong experience with JavaScript, Node-based tooling, ISML, SCSS, JSON, REST.
• Deep knowledge of SFRA controllers, hooks, cartridge structure, and job framework.
• Experience delivering responsive, accessible, and scalable eCommerce UI.
• Experience leveraging AI / LLM-based tools for development productivity, content workflows, or automation.

Common Skills & Tools

• Languages & Frameworks: JavaScript (ES6+), ISML, SCSS, jQuery, Node.js build tools, React (preferred)
• SFCC Skills: SFRA controllers, ISML, OCAPI, cartridge architecture, Model View Controller, Business Manager configuration
• Platforms: SFCC Business Manager, SFCC B2C Commerce (SFRA storefront)
• Domains: eCommerce storefront flows (PDP/PLP/Cart/Checkout), promotions, jobs, site preferences, multi-locale and multi-site management
• Tools: Postman, Git, BitBucket, Jira, Log Center, modern AI-assisted developer tooling

Project Context

Salesforce B2C eCommerce implementations supporting SFRA storefronts, OMS integrations, performance optimization, modern AI solutions, and SEO-sensitive consumer experiences.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V).