DevOps Engineer(Datadog) Only W2 and Local

5 days ago

Richmond, Virginia, United States CDI Solutions Full time $120,000 - $180,000 per year

Hello

Hope you are doing well, My client is hiring for the below role. Let me know if you are available for below job

Role: Devops Engineer (DataDog
)-
Senior 10+ Years Candidate

Location: Richmond, VA- Hybrid 3 days on site a week

Contract 1 year

Interview Process : There will be 1 round of interviews, 1 hour tech panel w/ no coding challenge

Pay: my Client W2 Directly

Note : Only Independent Candidate is eligible to apply on this role .

This contractor does need to report to the office on a Hybrid model and we are currently ONLY considering the
Richmond
location. Client current hybrid model requires 3 in person days per week with Monday- Thursday being optional in person days and Friday being a dedicated work from home day.

This person is needed in order to create dashboards in
DataDog
to measure customer impact and severity for Discover applications.

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 ServiceNow, 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 OpenTelemetry.
  • 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 DevOps 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 CloudWatch.
  • 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.

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