Site Reliability Engineer

ADT is a leading provider of security and automation solutions. The Site Reliability Engineer will work closely with Infrastructure and Development teams to ensure the reliability and performance of large-scale distributed systems while collaborating with cross-functional partners to implement SRE best practices.

Responsibilities:

• Work closely with Infrastructure and Development teams to keep the ADT platform running and customers protected, while collaborating with cross-functional partners (IT, Security, DevOps, Engineering) to improve operational health and apply SRE best practices
• Support the reliability, availability, scalability, and performance of large-scale distributed systems
• Drive operational excellence through problem-solving, performance improvements, and resilient production environments
• Use tools such as Terraform, Ansible, Kubernetes, and Dynatrace to support mission-critical applications
• Work within cloud environments (AWS, GCP) and Kubernetes-based infrastructure, with guidance on complex design decisions
• Identify performance bottlenecks and reliability gaps, and implement improvements
• Build and maintain infrastructure as code (Terraform, Ansible) for provisioning, configuration, patching, and releases
• Contribute to observability and monitoring (Dynatrace, Prometheus), including dashboards, alerts, runbooks, and tuning
• Support software releases, including validation, rollback planning, and post-change verification across ADT+ and legacy platforms
• Provide production support, including on-call participation, incident response, remediation follow-through, and support for customer-impacting issues during major incidents

Requirements:

• 3+ years of experience in SRE, DevOps, platform engineering, software engineering, or related roles with production and on-call responsibility
• Background in systems or operations with progression toward engineering work (automation, scripting, IaC, observability)
• Focus on production operations and reliability for distributed applications
• Experience with infrastructure as code (Terraform, Ansible), including building and maintaining environments
• Experience working in cloud environments (AWS and/or GCP)
• Familiarity with Kubernetes in production environments
• Proficiency in at least one programming or scripting language (Python, Java, Bash, or similar), including working with existing codebases
• Understanding of software development and change management practices
• Experience with monitoring and observability tools (Dynatrace, Prometheus, or similar)
• Ability to diagnose and resolve production issues with sound judgment around risk, rollback, and escalation
• Experience with CI/CD pipelines and automation tools
• Familiarity with incident response and post-incident follow-up
• Strong communication skills and ability to collaborate across teams
• Comfortable learning complex systems and seeking guidance when needed
• Comfortable using AI tools to accelerate investigation, automation, and documentation while maintaining sound engineering judgment
• Experience with Kafka, Java/JVM ecosystems, or large customer-facing platforms
• Experience with security remediation at scale (patch SLAs, CVE response, OS upgrades)
• Experience working with Jira-driven workflows and cross-team escalation
• Familiarity with Harness, enterprise Git workflows, and audit-driven change controls