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# DataDog/App Dynamics

- **Company:** Confidential - Job Hiring
- **Location:** Scottsdale, AZ, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Noise Reduction, Python (Programming Language), Reliability Engineering, Prometheus, Datadog, Google Cloud, Grafana, Kubernetes, Appdynamics, Dynatrace
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/b7a5b54b-a27f-4065-b1a3-ae66e908dcab

## About the Role

· 3+ years of strong experience with observability stacks, including DataDog, AppDynamics, and Quantum Metrics.

· Expertise in DataDog and AppDynamics agent deployment, configuration, customization, and troubleshooting.

· Hands-on experience setting up native mobile, browser real-user, and synthetic monitoring.

· SME with 5+ years of experience in full-stack observability, including APM tools, metrics collection, and log and trace analysis, with a passion for automation.

· Experience designing and developing automation for routine tasks using GitOps and Python.

· 3+ years of experience with Google Cloud Platform (Google Cloud Platform) and a solid understanding of Kubernetes.

· Strong monitoring SME who can collaborate with various teams to gather monitoring requirements, and design, develop, and implement effective monitoring solutions and alerting strategies.

Role Breakdown

This role is 70% hands-on, focused on administration and automation tasks for DataDog, AppDynamics and Quantum Metrics. The remaining 30% involves Site Reliability Engineering (SRE) tasks related to Prometheus, OpenTelemetry (OTel), Grafana, and similar tools.

Preferred Qualifications

· Experience leveraging AI for automation, noise reduction, and toil reduction.

· Experience with Dynatrace, Prometheus, OpenTelemetry (OTel), and Grafana.