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Closed listing

ADT

Senior Platform Engineer

Irving, TX, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Experience: 5+ years of professional software engineering experience, or equivalent practical experience building and supporting production software systems.
Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

Summary:

Join ADT's engineering team to help build the next-generation monitoring platform designed to support Life Safety events and serve as the backbone of ADT Monitoring. As a Product Engineer, you will develop, test, deploy, and support Java Spring Boot services running in Docker and Kubernetes environments. You will contribute to event-driven platform capabilities that support signal ingestion, event processing, monitoring workflows, agent experiences, operational reliability, and secure delivery of mission-critical services. This role is ideal for engineers who have foundational professional software development experience and want to grow into building highly available, scalable, and resilient systems that directly support customer safety, monitoring center operations, and ADT's future monitoring ecosystem.

Duties and Responsibilities:

Software Development

Develop and maintain backend services and platform capabilities for the monitoring platform.
Build Java Spring Boot services that support Life Safety event processing, monitoring workflows, APIs, and operational platform functions.
Participate in the design, implementation, testing, deployment, and support of new capabilities.
Write clean, maintainable, well-tested, and well-documented code aligned with team engineering standards.
Troubleshoot and resolve software defects across service, API, integration, and runtime layers.

Backend and Event-Driven Platform Development

Contribute to microservices and APIs developed using Java and Spring Boot.
Support event-driven and asynchronous processing workflows used for signal intake, transformation, event creation, downstream actions, and monitoring operations.
Assist with REST API implementation, integration work, and service-to-service communication patterns.
Use object-oriented design, software design patterns, and engineering best practices to build reliable platform services.

Containerization, Kubernetes, and Cloud-Native Engineering

Build and support containerized services using Docker.
Deploy and operate services in Kubernetes-based environments with guidance from senior engineers, platform engineering, and DevOps teams.
Assist with configuration, environment management, deployment validation, and operational readiness activities.
Support scalable and resilient service patterns for mission-critical monitoring workloads.

Data, Integration, and Monitoring Workflows

Support data models and persistence patterns.
Participate in integration efforts with monitoring systems, agent-facing workflows, internal services, and downstream operational systems.
Help validate that Life Safety events are processed accurately, consistently, and with the reliability expected of ADT Monitoring.
Support observability practices including logging, metrics, tracing, alerting, and operational dashboards.

Quality, Security, and Collaboration

Write unit, integration, and service-level tests for all platform capabilities.
Participate in code reviews, design discussions, release readiness reviews, and team technical discussions.
Collaborate with Product Management, Architecture, DevOps, QA, Security, SRE, Monitoring Operations, and other engineering teams.
Support secure coding practices, operational controls, and compliance-aware engineering for safety and monitoring environments.
Continuously learn new technologies, tools, and engineering practices.
Perform additional duties as assigned.

Skills and Competencies:

Backend

Java
Spring Boot
REST APIs
Object-oriented programming
Basic understanding of microservices and distributed systems
Event-driven and asynchronous processing concepts

Containers and Platform

Docker
Kubernetes fundamentals
Containerized application deployment
Basic understanding of service configuration, runtime environments, and operational readiness

Cloud, DevOps, and Tools

Git source control
CI/CD concepts
Build and deployment automation concepts
Logging, monitoring, tracing, and alerting fundamentals
Familiarity with cloud-native engineering concepts

Core Competencies

Strong problem-solving and troubleshooting skills
Strong communication and teamwork skills
Ability to work in a collaborative engineering environment
Attention to detail and commitment to quality
Ownership mindset and desire to grow as a software engineer
Interest in building reliable systems that support Life Safety and real-time monitoring operations

Minimum Qualifications:

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent practical education/training.
5+ years of professional software engineering experience, or equivalent practical experience building and supporting production software systems.
Experience developing backend applications using Java or another object-oriented programming language.
Familiarity with Spring Boot or comparable backend application frameworks.
Understanding of REST APIs, software development fundamentals, source control, testing, and release processes.
Familiarity with Docker, Kubernetes, or cloud-native application deployment concepts.
Ability to learn quickly and adapt to new technologies, operational requirements, and platform standards.

Preferred Qualifications:

Experience with Java Spring Boot services in production environments.
Experience with Docker, Kubernetes, Helm, or similar container and orchestration technologies.
Experience with event-driven systems, messaging, queues, streaming, or asynchronous processing.
Experience supporting high-availability, mission-critical, safety, security, monitoring, IoT, telecommunications, or regulated platforms.
Experience with CI/CD pipelines, automated testing, deployment validation, and observability tools.
Familiarity with SQL databases, schema migrations, data integrity, and service-level data access patterns.
Interest in cloud-native systems, distributed systems, platform reliability, and modern software engineering practices.
Experience using AI-assisted development tools such as GitHub Copilot, Cursor, or similar tools is a plus.

Required Licensing or Certifications:

None required.
Relevant certifications in Java, Kubernetes, Cloud Technologies, Agile Practices, Security, or Software Development are preferred.

Working Conditions:

Hybrid work environment with a combination of office and remote work.
Frequent collaboration with engineering, architecture, product, QA, DevOps, Security, SRE, and monitoring operations teams.
Work may involve production, pre-production, and mission-critical monitoring platform environments.
May require participation in release support, operational readiness, incident review, and production support activities.

Travel:

As job requires.

About employer

More about this job

Skills

Oracle Java
Spring Boot
Docker
Kubernetes
Software development
Troubleshoot
Microservices
Communication skills
DevOps
Data models
Collaboration
Regulatory compliance
Safety engineering
API development
Object-oriented programming
Git
CI/CD
Problem solving
Troubleshooting
Teamwork
Attention to detail
Computer science
Computer engineering
Industrial software
Test automation
SQL
GitHub
Cloud technologies
Agile

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