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8+ years of engineering experience with demonstrated expertise in both engineering and architecture roles
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Deep expertise in designing and scaling enterprise observability platforms such as Dynatrace, DataDog, IBM SevOne, or similar tools
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Proven ability to define and enforce observability patterns, standards, and data models at scale
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Strong experience leading intelligent automation and root cause analysis initiatives within observability environments
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Hands-on experience with AIOps platforms and AI-driven analysis tools (e.g., Davis AI, causal analysis engines)
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Demonstrated expertise in managing observability data (logs, metrics, alerts) at scale with a focus on cost optimization and governance
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Solid understanding of platform reliability, scalability, and cross-tool integration in complex enterprise environments
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Strong analytical and problem-solving skills with the ability to operate effectively during high-pressure incident response scenarios