DevOps Engineer(Datadog) Only W2 and Local

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 CTH 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 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. Thanks & Regards Rakesh kumar Work : 925 488 1943 , Ext :1002 | Email : rakesh@cdisolutionsinc.com