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Lead DevOps Engineer
Lead DevOps EngineerTrekrecruit • Richmond, Virginia, USA
Lead DevOps Engineer

Lead DevOps Engineer

Trekrecruit • Richmond, Virginia, USA
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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.
  • Key Skills

    Administrative Skills,Facilities Management,Biotechnology,Creative Production,Design And Estimation,Architecture

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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