Provide telemetry-based support for incident investigation, problem analysis, production-readiness reviews, service-health reporting, and monitoring of observability data flows and components.
Champion observability-led engineering through full-stack Dynatrace adoption, AIOps integration, and data-driven reliability decision-making at every layer of the stack.
A key objective of this role is to drive AIOps-enabled operations and self-healing automation to reduce alert noise, improve Mean Time To Detect (MTTD), reduce Mean Time To Resolve (MTTR), and improve overall platform and application reliability.
Build strong cross-functional links by working closely with Production, Engineering and Quality teams to meet production schedules and quality targets, and gain exposure that prepares you for senior process roles.