Job Description
Job Description
What You’ll Do:
- 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
What You’ll Need:
- 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
Preferred Qualifications:
- 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