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