DevOps Engineer Lead
Job Title: DevOps Engineer - Lead
Job ID: 94330-1, 94329-1 & 94503-1
Only-EX-Capital one ,C2C
Client: Capital One
Location: 15075 Capital One Drive Richmond, VA 23238 (Hybrid)
Duration: 12+ Months with possible of extension
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.
Job Description:
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.
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.
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