We are looking for an enthusiastic, growth-minded Engineer I to join our team as a core contributor to ADT’s digital ecosystemIn this role, you will work within established technical guardrails to execute clean, impactful code while expanding your technical capabilities across our Salesforce and integration platforms
You will adopt and practice modern engineering standards, including Test-Driven Development (TDD), automation, and AI-assisted development. As a member of a cross-functional engineering pod, you will contribute directly to advancing ADT’s Sales and Service Platform, working alongside senior peers across platforms like Salesforce CRM (Sales & Service), CPQ, Billing, and MuleSoft. This is a fantastic opportunity to build a world-class foundation in engineering quality while leveraging cutting-edge AI tools to accelerate your growth.
What You’ll Do:
Technical Execution & Feature Development
Contribute to the end-to-end development and configuration of features across Salesforce CRM (Sales, Service), CPQ / RCA, and MuleSoft APIs
Translate business and product requirements into scalable, maintainable code.
Learn and apply standard integration patterns to ensure seamless data flow across platforms
AI-Assisted Engineering
Actively leverage AI-assisted coding tools (e.g., Cursor) to accelerate feature delivery and iteratively improve your code quality
Embrace AI tools to assist in learning new frameworks, troubleshooting bugs, and refactoring code bases
Quality Ownership (Test-Driven Development Model)
Participate in a engineering culture where engineers own quality end-to-end.
Ensure all authored code includes comprehensive automated unit tests and applicable integration tests.
Utilize AI-driven testing tools for test generation, validation, and coverage improvements.
Pod Collaboration & Growth
Operate productively within a cross-functional pod structure, collaborating closely with senior engineers, tech leads, and product owners.
Actively participate in code reviews to receive feedback, absorb engineering best practices, and raise your personal technical bar.
3-5 years of Object-Oriented software development experience.
Strong hands-on experience with Salesforce Sales and Service Cloud including REST APIs.
Basic understanding of CPQ (SteelBrick or RCA)
Basic understanding of MuleSoft or integration patterns
Exposure to RCA, Experience cloud
Basic experience or training with MuleSoft API development
Familiarity with deployment tools, preferably Copado
Strong collaborative skills with ability to communicate technical updates clearly to the immediate pod team
A strong sense of curiosity, a desire to learn, and a personal sense of accountability for your deliverables
Strong interest or early experience in using AI tools for:
Code generation and refactoring
Test automation
Maximizing developer productivity
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 Business teams
Opportunity to help shape a modern, AI-enabled engineering culture
Gain deep hands-on expertise across a highly sought-after Salesforce stack
High-visibility environment where your individual contributions directly impact customer experience and revenue

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