About The Position

We are looking for a high-performing Engineer II to join our E-Commerce and Martech pod, working across a modern stack including Salesforce Commerce Cloud (SFCC), Salesforce Marketing Cloud (SFMC), MuleSoft, and headless CMS platforms. In this role, you will be a hands-on engineer responsible for building, integrating, and optimizing digital experiences. You will work closely with a Tech Lead who will guide solution design, while you focus on delivering high-quality, scalable implementations. This is an ideal role for an engineer who is growing into full-stack and platform breadth, enjoys working across systems, and is excited about AI-enabled development and quality ownership (TDD - Test-Driven Development).

Requirements

  • 3–5 years of software engineering experience
  • Hands-on experience with Salesforce Commerce Cloud (or similar e-commerce platforms)
  • Experience with modern JavaScript frameworks like Next.js and React
  • Familiarity with API-based architectures and integrations (experience with MuleSoft is a plus)
  • Understanding of SCAPI or similar headless commerce APIs
  • Strong attention to code quality, testing, and maintainability
  • Ability to work independently on well-defined tasks while collaborating with senior engineers
  • Eagerness to learn and grow across multiple platforms and technologies
  • Interest or experience in using AI tools for: Code generation and acceleration, Writing and improving automated tests, Debugging and productivity enhancements

Nice To Haves

  • Exposure to Salesforce Marketing Cloud
  • Familiarity with CMS tools: Sanity Studio, Adobe Experience Manager

Responsibilities

  • Build and maintain features across: SFCC (including headless implementations via SCAPI), Next.js and React front-end applications, MuleSoft APIs and integrations
  • Contribute to integrations between commerce, marketing, and CMS platforms
  • Implement solutions defined by the Tech Lead and architecture team
  • Translate technical designs into clean, maintainable, and scalable code
  • Participate in design discussions and provide input based on implementation feasibility
  • Own the quality of your work end-to-end: Write unit tests and integration tests for all features, Ensure code meets performance and reliability standards
  • Leverage AI tools to accelerate development, test creation, and debugging
  • Work closely with engineers, product, and marketing stakeholders
  • Contribute to a high-accountability, fast-moving pod environment
  • Actively participate in code reviews and team knowledge sharing
  • Support implementation of tracking and analytics tools such as: Google Analytics, Google Tag Manager
  • Assist in optimizing performance using tools like Akamai
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