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DevOps Engineer - Splunk & AppDynamics @ Capgemini

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 DevOps Engineer - Splunk & AppDynamics

Job Description


 Primary Skills 
  • Strong hands-on experience with observability tools like AppDynamics, Dynatrace, Prometheus, Grafana, and ELK Stack
  • Proficient in AppDynamics setup, including installation, configuration, monitor creation, and integration with ServiceNow, email, and Teams
  • Ability to design and implement monitoring solutions for logs, traces, telemetry, and KPIs
  • Skilled in creating dashboards and alerts for application and infrastructure monitoring
  • Experience with AppDynamics features such as NPM, RUM, and synthetic monitoring
  • Familiarity with AWS and Kubernetes, especially in the context of observability
  • Scripting knowledge in Python or Bash for automation and tool integration
  • Understanding of ITIL processes and APM support activities
  • Good grasp of non-functional requirements like performance, capacity, and security
  •  Secondary Skills 
  • AppDynamics Performance Analyst or Implementation Professional certification
  • Experience with other APM tools like New Relic, Datadog, or Splunk
  • Exposure to CI/CD pipelines and integration of monitoring into DevOps workflows
  • Familiarity with infrastructure-as-code tools like Terraform or Ansible
  • Understanding of network protocols and troubleshooting techniques
  • Experience in performance tuning and capacity planning
  • Knowledge of compliance and audit requirements related to monitoring and logging
  • Ability to work in Agile/Scrum environments and contribute to sprint planning from an observability perspective
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: DevOps
    Role: DevOps Engineer
    Employement Type: Full time

    Contact Details:

    Company: Capgemini
    Location(s): Bengaluru

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    Keyskills:   continuous integration kubernetes devops appdynamics aws nagios dynatrace ci/cd ansible docker git datadog linux jenkins prometheus python performance tuning new relic npm puppet grafana splunk scrum terraform bash agile ci cd pipeline

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