DevOps Engineer

DevOps EngineerLocation: Richmond, VA Contract 1 year Hybrid 3 days onsite a weekThis person is needed in order to create dashboards in DataDog to measure customer impact and severity for Client 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 observabilityPossesses 2 years of experience in cloud-based observability solutions, specializing in monitoring, logging, and tracing across AWS, Azure, and GCP environments.