Full Stack Engineering Lead - Sales and Service Platforms

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 Sales and Service Platform, leading technical solution design and guiding a cross-functional engineering pod across platforms like Salesforce CRM, CPQ, Billing, MuleSoft, 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.

Own end-to-end technical solution design following architecture hand-offs across:

Other integrations

Translate business and product requirements into scalable, maintainable technical solutions

Drive integration patterns across platforms

Actively contribute to development across:

Leverage AI-assisted coding tools (e.g.

Cursor) to accelerate delivery and improve code quality

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

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

7 years of Object-Oriented software development experience

5+ years of strong hands-on experience with Salesforce CRM.

Knowledge of CPQ

Solid understanding of MuleSoft APIs and integration patterns

Development experience with Salesforce CPQ or RCA, including Billing integration.

Development experience with Mulesoft

• Preferred Copado experience

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

Experience or strong interest in using AI tools for:

Code generation and refactoring

Test automation

Developer productivity optimization

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

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