DataDog/App Dynamics

Confidential - Job Hiring
Scottsdale, AZ, United States
23 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Noise Reduction Python (Programming Language) Reliability Engineering Prometheus Datadog Google Cloud Grafana Kubernetes Appdynamics Dynatrace

Requirements

· 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.

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