DataDog App Dynamics Consultant

Accroid Inc; Scottsdale (AZ); On-site; USD 120,000 - 170,000; Full time

Job summary

Accroid Inc in Scottsdale, AZ seeks an experienced Observability Engineer to own and operate our observability stack. You will deploy and troubleshoot DataDog, AppDynamics, and Quantum Metrics, build dashboards, and automate repetitive tasks with Python and GitOps.

The role combines hands-on administration (70%) with SRE activities (30%), collaborating across engineering and infrastructure teams to improve reliability and visibility in Google Cloud Platform and Kubernetes environments.

Qualifications

• 5+ years in full-stack observability, metrics collection, and log/trace analysis.
• Strong DataDog and AppDynamics admin, agent deployment, config, and troubleshooting.
• 3+ years with observability platforms including DataDog, AppDynamics, and Quantum Metrics.
• Experience implementing mobile monitoring, RUM, and synthetic monitoring.
• Strong Python scripting and automation skills; GitOps experience.

Responsibilities

• Observability Platform Management: deploy, configure, customize, and troubleshoot DataDog and AppDynamics.
• Application Monitoring: implement mobile monitoring, RUM, and synthetic monitoring.
• Full-Stack Observability: monitor performance, collect metrics, analyze logs/traces.
• Automation & GitOps: develop Python-based automation to reduce toil.
• Cloud & Container Monitoring: monitor in Google Cloud Platform and Kubernetes environments.
• Monitoring Strategy: collaborate with teams to design effective monitoring solutions.
• Alerting & Incident Support: enhance alerting strategies to reduce noise.
• SRE Support: work with Prometheus, OpenTelemetry, Grafana for reliability work.
• AI‑Driven Automation: leverage AI to automate workflows where applicable.

Skills

Observability

Automation

Collaboration

Tools

DataDog

AppDynamics

Quantum Metrics

Python

GitOps

Google Cloud Platform

Kubernetes

Prometheus

OpenTelemetry

Grafana

Job description

Experience: 5+ Years in Full-Stack Observability

Cloud Platform: Google Cloud Platform (Google Cloud Platform)

Key Technologies: DataDog, AppDynamics, Quantum Metrics, Python, GitOps, Kubernetes

In-person Interview in Scottsdale, AZ - Highly recommended

Top 5 skills to prioritize when screening candidates

• DataDog – Administration, agents, configuration, and troubleshooting.
• AppDynamics – APM, agent deployment, and application monitoring.
• Quantum Metrics – Monitoring and observability experience.
• Python + GitOps – Automation and toil reduction.
• Google Cloud Platform + Kubernetes – Cloud and container monitoring.

Position Summary

We are seeking an experienced Observability Engineer / SME with strong hands‑on expertise in DataDog, AppDynamics, and Quantum Metrics. The candidate will be responsible for managing observability platforms, deploying and troubleshooting monitoring agents, implementing end‑to‑end monitoring solutions, and automating routine operational tasks.

This role is approximately 70% hands‑on observability administration and automation and 30% Site Reliability Engineering (SRE), including work with Prometheus, OpenTelemetry, Grafana, and related tools.

Key Responsibilities

• Observability Platform Management: Deploy, configure, customize, administer, and troubleshoot DataDog and AppDynamics agents.
• Application Monitoring: Implement native mobile monitoring, browser real‑user monitoring (RUM), and synthetic monitoring.
• Full-Stack Observability: Monitor application performance, collect metrics, and analyze logs, traces, and performance issues.
• Automation & GitOps: Develop Python‑based automation and use GitOps practices to streamline routine tasks and reduce manual effort.
• Cloud & Container Monitoring: Implement monitoring solutions in Google Cloud Platform environments and work with Kubernetes‑based applications.
• Monitoring Strategy: Collaborate with application, infrastructure, and engineering teams to gather monitoring requirements and design effective monitoring solutions.
• Alerting & Incident Support: Develop and improve alerting strategies to identify issues, reduce alert noise, and improve system reliability.
• SRE Support: Work with Prometheus, OpenTelemetry, Grafana, and related observability tools to support reliability and performance initiatives.
• AI‑Driven Automation: Where applicable, leverage AI to reduce operational toil, automate workflows, and improve monitoring efficiency.

Required Qualifications

• 5+ years of experience in full‑stack observability, APM, metrics collection, and log and trace analysis.
• Strong hands‑on experience with DataDog and AppDynamics administration, agent deployment, configuration, customization, and troubleshooting.
• 3+ years of experience with observability platforms, including DataDog, AppDynamics, and Quantum Metrics.
• Experience implementing mobile monitoring, browser real‑user monitoring (RUM), and synthetic monitoring.
• Strong Python scripting and automation skills.
• Experience with GitOps practices for automation and operational management.
• 3+ years of experience with Google Cloud Platform (Google Cloud Platform).
• Solid understanding of Kubernetes and containerized application environments.
• Ability to design, implement, and maintain monitoring solutions, dashboards, and alerting strategies.
• Strong collaboration and troubleshooting skills, with the ability to work across multiple technical teams.

Preferred Qualifications

• Experience using AI to automate operational tasks, reduce alert noise, and minimize manual effort.
• Familiarity with Dynatrace, Prometheus, OpenTelemetry (OTel), and Grafana.
• Experience with Site Reliability Engineering (SRE) practices and improving application reliability.

Role Breakdown

• 70% – Observability Administration & Automation: DataDog, AppDynamics, Quantum Metrics, agent management, monitoring configuration, troubleshooting, and Python/GitOps automation.
• 30% – SRE & Monitoring: Prometheus, OpenTelemetry, Grafana, reliability improvements, and alerting optimization.

Ideal Candidate

A hands‑on Observability SME who can independently manage monitoring platforms, automate operational tasks, troubleshoot complex application performance issues, and collaborate with engineering teams to improve system visibility and reliability.