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E-Commerce & Martech Tech Lead

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: ADT Security Services
Full Time position
Listed on 2026-06-07
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Cloud Engineer - Software, Software Architect
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: E-Commerce & Martech Tech Lead (Job ID 3020661)

Summary:

We are looking for a hands-on Engineer III who operates as Technical Lead—someone who can both architect within guardrails and execute in code. You are responsible for the technical roadmap of our digital ecosystem, ensuring that our Salesforce integrations, frontend architecture, and deployment pipelines are world-class. You establish the standards for TDD (Test-Driven Development), automation, and AI adoption. You’ll play a critical role in advancing ADT’s E-Commerce and Marketing technology ecosystem, leading technical solution design and guiding a cross‑functional engineering pod across platforms like Salesforce Commerce Cloud (SFCC), Salesforce Marketing Cloud (SFMC), Mule Soft, and modern CMS tools.

This is not a pure oversight role—you are expected to actively code, design, and elevate engineering quality standards, leveraging AI to accelerate development and testing.

Duties and Responsibilities

Technical Leadership & Solution Design:

  • Own end-to-end technical solution design following architecture hand-offs across:
    • SFCC (headless, SCAPI-based)
    • SFMC (Journeys, integrations)
    • Mule Soft APIs
    • CMS platforms (Sanity Studio, AEM)
  • Translate business and product requirements into scalable, maintainable technical solutions
  • Drive integration patterns across commerce, marketing, and data platforms

Hands-On Development:

  • Actively contribute to development across:
    • SFCC (including SCAPI)
    • Next.js and React front-end applications
    • Mule Soft APIs
    • SFMC development (preferred)
  • Leverage AI-assisted coding tools (e.g. Cursor) to accelerate delivery and improve code quality

Pod-Level Technical Leadership:

  • Serve as the technical leader within a pod of engineers
  • Guide design decisions, code quality, and engineering best practices
  • Mentor engineers and raise the technical bar across the team

Quality Ownership (Test-Driven Development Model):

  • Champion a culture where engineers own quality end-to-end
  • Ensure all code includes:
    • Automated unit tests
    • Integration tests where applicable
  • Leverage AI for test generation, validation, and coverage improvements

Performance, Analytics & Optimization:

  • Partner with analytics and marketing teams to ensure proper implementation of:
    • Google Analytics (GA4)
    • Google Tag Manager (GTM)
  • Optimize site performance and reliability using tools like Akamai
Core Technical

Skills:
  • 5 years of software engineering experience
  • Strong hands‑on experience with Salesforce Commerce Cloud (SFCC)
  • Experience with Next.js, React and modern headless architectures
  • Solid understanding of Mule Soft APIs and integration patterns
  • Experience with SCAPI (Salesforce Commerce APIs)
  • Familiarity with Akamai
  • Experience implementing Google Analytics and Google Tag Manager

Preferred Experience:

  • Development experience with Salesforce Marketing Cloud
  • Experience with CMS tools:
    • Sanity Studio
    • Adobe Experience Manager

Leadership & Mindset:

  • Proven ability to lead technical design within a pod structure
  • Strong communicator who can bridge architecture, product, and engineering
  • Deep sense of ownership and accountability for outcomes—not just output

AI-Enabled Engineering:

  • Experience or strong interest in using AI tools for:
    • Code generation and refactoring
    • Test automation
    • Developer productivity optimization

How We Work:

  • Pod-based model with high ownership and autonomy
  • Engineers are responsible for both building and validating their work
  • Emphasis on speed + quality through AI augmentation
  • Collaborative environment across Product, Engineering, and Marketing

Why Join ADT?

  • Opportunity to shape a modern, AI‑enabled engineering culture
  • Work across a cutting‑edge commerce and martech stack
  • High visibility role with real impact on customer experience and revenue

Los Angeles Applicants:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Philadelphia Applicants:
Background checks will be conducted during the employment process. Any information will be reviewed through an individualized assessment in accordance with the Philadelphia Fair Criminal Record Screening Standards Ordinance.

ADT is an Equal Employment Opportunity (EEO) Employer. We celebrate diversity and are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. ADT strives to ensure every employee and applicant feels valued. Visit us at  to learn more.

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