Principal Engineer - Monitoring Platforms

The ADT Corporation
Irving, TX, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Cloud Computing Cloud Engineering Continuous Integration Distributed Systems Network Connections Node.Js Software Engineering Google Cloud Cloud Platform System Reliability of Systems
+10 more
Technical Debt Backend Event Driven Architecture Build Management Containerization Infrastructure Automation Frameworks Production Code Terraform Data Pipelines Docker

Job description

As a Principal Engineer - Cloud Focus, you will play a critical role in defining and building ADT’s future cloud platform, with a strong emphasis on Google Cloud Platform (GCP). You’ll act as a hands-on technical leader, shaping cloud architecture, enabling scalability and reliability, and supporting the integration of AI-enabled capabilities across our growing product ecosystem. This role blends deep cloud expertise, platform-level thinking, and practical, hands-on delivery. You will influence strategy while staying close to the code, working across teams to ensure ADT’s cloud foundations are modern, secure, resilient, and ready to support AI-driven products at scale., * Lead the architecture, design, and evolution of ADT’s future cloud environment with a primary focus on GCP

  • Design and build highly scalable and secure platforms to support mission-critical products and services
  • Serve as a hands-on technical leader, contributing production-quality code while guiding architectural decisions
  • Partner with AI and product engineering teams to enable and integrate AI-powered capabilities into cloud-based systems
  • Define and promote cloud standards, best practices, and reference architectures across teams
  • Drive adoption of modern cloud patterns including containerization, managed services, event-driven architectures, and infrastructure as code
  • Collaborate with IT, SRE, and Security teams to ensure reliability, observability, cost efficiency, and compliance
  • Influence technical direction across multiple teams through design reviews, technical proposals, and mentorship
  • Identify and reduce technical debt while improving platform agility and long-term maintainability
  • Act as a trusted technical advisor to product, engineering leadership, and cross-functional stakeholders, 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 jobs.adt.com/diversity to learn more.

Requirements

Do you have experience in Technical solutions implementation?, Do you have a Bachelor’s degree?, * 12+ years of professional software engineering experience, including significant experience in cloud-first architectures

  • Bachelor degree in a related field
  • Strong hands-on expertise with Google Cloud Platform (GCP) in production environments
  • Proven experience designing and operating large-scale, distributed, cloud-native systems
  • Experience with containerized platforms such as Docker and Kubernetes
  • Strong background in backend or platform engineering (e.g., Java, Node, or similar modern stacks)
  • Experience with infrastructure as code (e.g., Terraform) and modern CI/CD practices
  • Experience with cloud and on-prem network connections
  • Solid understanding of system reliability, security, observability, and cost management
  • Ability to translate business and product needs into robust technical solutions
  • Demonstrated ability to lead through influence and mentor senior engineers
  • Comfort operating in ambiguous problem spaces while providing clarity and direction

Experience Enabling AI (Strong Plus)

  • Hands-on experience supporting or enabling AI/ML workloads in cloud environments
  • Familiarity with AI-adjacent cloud patterns such as:
  • Scalable data pipelines
  • Model hosting and inference infrastructure
  • Integration of AI services into distributed systems
  • Experience collaborating closely with AI/ML engineers to bring AI-enabled features into production
  • Enthusiasm for applying AI to improve both product capabilities and engineering workflows

Skills That Set You Apart:

  • Deep expertise in GCP managed services (compute, networking, data, AI/ML, or platform services)
  • Experience building platform capabilities used by multiple product teams
  • Exposure to security, compliance, or regulated environments
  • Strong architectural judgment paired with a bias toward practical delivery
  • Passion for mentoring and raising the technical bar across teams
  • Ability to balance strategic thinking with hands-on execution

Travel:

  • 25% as needed

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.

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