software engineer UI UX

MACHINE LEARNING TECHNOLOGIES LLC

Jersey City (NJ)

On-site

USD 100,000 - 160,000

Full time

14 days+

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Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Software Engineer UI/UX in Jersey City, NJ to own end-to-end SFRA storefront features and UI/UX improvements. You will collaborate with product, UX, backend, and API teams to deliver scalable SFRA enhancements and optimize performance and SEO.

Responsibilities include building ISML templates, UI components, and integrating with third-party services, while maintaining code quality through reviews, testing, and linting.

Qualifications

  • 5+ years software engineering experience with 3+ years SFRA/SFCC development.
  • Strong knowledge of SFRA architecture, ISML, Controllers, MVC, and Business Manager features.
  • Experience delivering responsive, accessible eCommerce UI and integrating with third-party services.

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.

Skills

JavaScript (ES6+)
ISML
SCSS
Node.js build tools
React (preferred)
SFRA/SFCC development
REST APIs

Tools

Postman
Git
Bitbucket
Jira
Log Center

Job description

Job Overview
  • Job ID: J53027
  • Job Title: Software Engineer UI UX
  • Location: Jersey City, NJ
  • Duration: 9 Months + Extension
  • Hourly Rate: Depending on Experience (DOE)
  • Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
  • Client: To Be Discussed Later
  • Employment Type: W-2, 1099, C2C
Key Responsibilities
  • 5+ years software engineering experience, 3+ years SFCC (SFRA) development.
  • Strong understanding of SFRA architecture, ISML, Controllers, MVC development, and Business Manager features.
  • Own end-to-end development of storefront features, integrations, and UI/UX improvements.
  • Collaborate with product, UX, backend services, and API teams to deliver scalable SFRA enhancements.
  • Own initiatives around performance optimization, technical SEO fundamentals, and modern development tooling.
  • SFCC / SFRA certification is a plus.
Project Context

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

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.
  • Working knowledge of backend payment gateways, OMS flows, and third-party services.
  • 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
  • Certifications: SFCC B2C Developer certificate (preferred).
Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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