Monitoring Specialist (Data Dog Job Richmond area,Virginia USA,IT/Tech

Position: Monitoring Specialist (Data Dog)

Monitoring Specialist (Data Dog)

Location:

Hybrid 3 times a week – either in Richmond, VA or Plano, Texas Looking for A Monitoring/Observability SME

Needs:

Datadog Dashboard Experience
ITSM Tools Like SNOW
AWS Systems Engineering
Observability

Nice to Haves:

New Relic
Splunk

Key Responsibilities:

Implement and manage full-stack observability using Datadog, ensuring seamless monitoring across infrastructure, applications, and services.

Instrument agents for on-premise, cloud, and hybrid environments to enable comprehensive monitoring.

Design and deploy key service monitoring, including dashboards, monitor creation, SLA/SLO definitions, and anomaly detection with alert notifications.

Configure and integrate Datadog with third-party services such as Service Now, SSO enablement, and other ITSM tools.

Core Responsibilities:

Design & Implement Solutions:
Build and maintain comprehensive observability platforms that provide deep insights into complex systems, incorporating logs, metrics, and traces.

System Instrumentation:
Instrument applications, infrastructure, and services to collect telemetry data using frameworks like Open Telemetry.

Data Analysis & Visualization:
Develop dashboards, reports, and alerts using tools like Prometheus, Grafana, and Splunk to visualize system performance and detect issues.

Collaboration:

Work with development, SRE, and Dev Ops teams to integrate observability best practices and align monitoring with business and operational goals.

Automation:
Develop scripts and use Infrastructure as Code (IaC) tools like Ansible and Terraform to automate monitoring configurations and telemetry collection.

Key Skills & Tools:

Observability Tools:
Proficiency in monitoring, logging, and tracing tools, including Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, Datadog, New Relic, and cloud-native solutions like AWS Cloud Watch.

Programming

Languages:

Expertise in languages such as Python and Go for scripting and automation.

Infrastructure & Cloud Platforms:
Experience with cloud platforms (AWS, GCP, Azure) and container orchestration systems like Kubernetes.

Infrastructure as Code (IaC):
Familiarity with Terraform and Ansible for managing infrastructure and configurations.

CI/CD & Automation:
Experience with CI/CD pipelines and automation tools like Jenkins.

System & Software Engineering: A strong background in both system operations and software development.

Optimize cloud agent instrumentation, with cloud certifications being a plus.

Datadog Fundamental, APM and Distributed Tracing Fundamentals & Datadog Demo Certification (Mandatory)

Strong understanding of Observability concepts (Logs, Metrics, Tracing)

Expertise in security & vulnerability management in observability

Possesses 2 years of experience in cloud-based observability solutions, specializing in monitoring, logging, and tracing across AWS, Azure, and GCP environments.