Hybrid 3 days onsite a week
Location : Richmond, VA
This contractor does need to report to the office on a Hybrid model and we are currently ONLY considering the Richmond location. Capital One's 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 observabilityPossesses 2 years of experience in cloud-based observability solutions, specializing in monitoring, logging, and tracing across AWS, Azure, and GCP environments.