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Tier-1 brand plus broad, generalist SRE requirements increase competition despite seniority and non-metro location.
Specialized SRE, observability, and regulated healthcare experience reduce transferability across industries.
Explicit 15+ years and many mandatory SRE, observability, cloud, AI, and leadership requirements.
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Own and define SRE, AI-enhanced operations, and observability strategy across global digital platforms to achieve high reliability, stability, and scalability with 99.999% uptime.
Lead cross-functional technical teams including SREs, AI engineers, and platform engineers to implement enterprise standards for monitoring, automation, incident management, and AI-enabled observability.
Drive AI and automation integrations for proactive incident detection and resolution, operational excellence, production readiness, and continuous improvement initiatives across hybrid cloud environments.
Bachelor's degree in Computer Science, IT, Engineering, Data Science, or related field preferred.
15+ years overall IT experience including 9+ years hands-on Site Reliability Engineering and leadership at enterprise scale.
9+ years experience designing and governing monitoring, alerting, and observability solutions using platforms like Splunk, Dynatrace, DataDog, Grafana, or similar.
7+ years coding/scripting in multiple languages (Java, Python, Go, JavaScript, TypeScript, etc.) and 5+ years working with REST APIs at scale.
Experienced senior technical leader who integrates AI and observability platforms into SRE workflows for measurable improvements in reliability metrics (MTTD, MTTR, error budgets).
Proven track record managing complex, multi-cloud and hybrid enterprise infrastructure with extensive knowledge of modern infrastructure (Kubernetes, serverless, cloud platforms) and automation.
Able to communicate effectively with senior leadership and globally distributed teams, while leading technology transformation efforts and defining strategic reliability initiatives.