Senior Site Reliability Engineer

ADT is seeking a Senior Site Reliability Engineer to ensure the reliability, availability, scalability, and performance of major production platforms and services. The role focuses on infrastructure automation, observability, cloud and Kubernetes operations, incident response, production support, and mentoring engineers across distributed systems.

Responsibilities:

• Own the reliability, availability, scalability, and performance of major production platforms and services
• Work closely with Infrastructure, Development, Product, and Operations teams to keep the ADT platform running and customers protected
• Drive operational excellence through automation, observability, and proactive problem-solving across large-scale distributed systems
• Lead reliability efforts across cloud environments, leveraging tools such as Terraform, Ansible, Kubernetes, Dynatrace, and Prometheus
• Design, build, and evolve infrastructure as code solutions to automate provisioning, configuration management, patching, and repeatable operational processes
• Own the operational lifecycle of critical services, including production readiness, monitoring strategy, incident response, and continuous improvement
• Identify reliability gaps, performance bottlenecks, and operational toil, then implement durable solutions that improve stability and efficiency
• Define and improve observability practices, including dashboards, alerts, runbooks, and detection strategies that reduce time to detect and resolve issues
• Support software releases and production changes, including validation, rollback planning, post-change verification, and operational readiness reviews
• Partner with cross-functional teams to improve operational health and establish engineering practices that strengthen platform reliability
• Mentor junior and mid-level engineers through design reviews, technical guidance, on-call coaching, and operational best practices
• Participate in an on-call rotation and provide production support, including complex incident response, root cause analysis, remediation efforts, and support for customer-impacting issues during major incidents

Requirements:

• Applicants must be authorized to work for any employer in the United States without current or future sponsorship
• 7+ years of experience in Site Reliability Engineering, Infrastructure Engineering, Systems Engineering, Operations Engineering, DevOps, or related production-focused roles with on-call responsibility
• Proven experience owning large-scale distributed systems and platforms in production environments
• Strong Linux and systems engineering fundamentals, including troubleshooting across compute, storage, networking, and application layers
• Advanced experience with infrastructure as code, including Terraform and Ansible design, implementation, and maintenance
• Experience operating and optimizing cloud environments, including AWS and GCP
• Strong experience managing Kubernetes clusters in large-scale production environments
• Proficiency in Python, Bash, or similar scripting languages, with a focus on automation and operational tooling
• Strong understanding of software delivery, change management, and safe production operations
• Experience with monitoring and observability platforms such as Dynatrace, Prometheus, or similar technologies
• Ability to diagnose and resolve complex production issues while making sound decisions around risk, rollback strategies, and escalation paths
• Experience with CI/CD pipelines and deployment automation
• Experience leading or supporting incident response activities and post-incident reviews
• Strong communication skills and the ability to collaborate effectively across technical and business teams
• Comfortable operating in complex environments with ambiguity and competing priorities
• Ability to balance incident-driven operational work with longer-term reliability and automation initiatives
• Comfortable using AI tools and agents to accelerate investigation, automation, and documentation while maintaining sound engineering judgment
• Experience with Java/JVM ecosystems and large-scale customer-facing platforms
• Experience with Kafka or other distributed messaging platforms
• Experience leading security remediation efforts at scale, including patch SLAs, CVE response, and operating system upgrades
• Familiarity with Harness, enterprise Git workflows, and audit-driven change controls
• Demonstrated success improving reliability metrics such as MTTD, MTTR, availability, or operational efficiency across teams