Junior Software Engineer

ADT•Irving, TX

About The Position

If you live and breathe agentic coding and can’t imagine living another day without your Cursor or Claude code subscription: we want you on our team. In this role, you’ll build scalable backend software in Java, along with modern React web and mobile applications used by ADT customers. You’ll also play a key role in shaping how AI and automation are integrated into our products and engineering workflows.

Requirements

Bachelor’s degree in Computer Science or related field (or equivalent experience)
Strong experience with Java backend development
Experience building React web and/or mobile applications
Comfortable working in AI-assisted development environments (e.g., Cursor, Claude, MCPs, feedback loops)
Ability to write clean, readable code independently (without AI assistance)
Solid understanding of system architecture and design
Experience with web services (REST and/or WebSockets)
Experience with data storage systems: SQL, Key-value stores, Document databases
Experience with cloud platforms (AWS and/or GCP)
Proficiency with Git version control

Nice To Haves

Comfortable collaborating within a team (human and AI-assisted environments)
Proactive, self-driven, and able to take ownership of work
Strong problem-solving skills with ability to navigate complex challenges
Curious and continuously learning new technologies
Able to manage multiple priorities effectively
Seek guidance from others when needed

Responsibilities

Partner with Product, UX, and fellow Software Engineers to turn ideas into scalable, production-ready code
Design and develop internal (and potentially customer-facing) agents to automate processes as model capabilities evolve
Integrate multi-modal models into product pipeline to help better take care of our users, from analyzing video streams to generating automated, ML-driven reports
Design systems with scalability, performance, and storage in mind
Work with QA to build repeatable, automated validation of user-facing features
Troubleshoot and resolve issues across environments
Ensure stability and performance of production systems with minimal user impact
Estimate effort for new projects (in tokens)
Follow best practices across coding standards and the full software development lifecycle

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