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About the role
Job Description
Observability Engineer with AI Technical Product Management experience.
Bachelor of Science or Engineering (or equivalent experience) with 8+ years of experience in platform engineering, observability, reliability, or technical product management roles.
5+ years of hands-on experience with Dynatrace SaaS, including Davis AI, DQL, Grail, and log analytics.
Strong understanding of AI/ML concepts as applied to AIOps, including anomaly detection, causality, signal-to-noise optimization, and predictive analytics.
Deep knowledge of distributed systems, microservices, cloud-native architectures, and SaaS platforms.
Proven ability to translate technical capabilities into product outcomes and business value.
Experience with Kubernetes, cloud platforms, and large-scale SaaS environments.
Familiarity with automation, DevOps, CI/CD, and IaC practices.
Background in financial services or regulated enterprise environments. Strong executive communication and stakeholder management skills.
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