Software Engineer

4 weeks ago


Varanasi, India Ubique Systems Full time

Job overview: Are you passionate about cloud monitoring, automation, and ensuring smooth operational excellence? We are looking for an experienced Datadog Monitoring Specialist to join our team If you have a keen eye for detail and thrive in dynamic environments, this role is for you.


Key Responsibilities:

  • Review and analyze existing Datadog configurations: metrics, dashboards, logging, and alerting.
  • Identify areas for improvement and implement best practices for enhanced monitoring.
  • Develop and maintain documentation for Datadog processes and configurations.
  • Configure, tune, and manage alerts and escalation procedures across Teams & email.
  • Create and maintain dashboards to visualize key metrics and proactively identify issues.
  • Manage SLIs, SLOs, and SLAs using Datadog to ensure service reliability.
  • Support automatic self-remediation code and generate reports on trigger activity.
  • Act as an SME for Dev and QE teams, mentoring on monitoring best practices and code instrumentation.
  • Provide support in troubleshooting and cross-correlation to identify root causes.


Qualifications:

  • 4-6 years of hands-on experience with Datadog (configuration, dashboards, alerting).
  • Strong experience with Azure Cloud environments, including PaaS and AKS.
  • Proficiency in log management, including log shipping and tagging in Datadog.
  • Experience in scripting and automation using Bash or Python.
  • Strong understanding of monitoring principles and cloud infrastructure.
  • Excellent communication skills, both verbal and written.
  • A team player with the flexibility to adapt to changing environments.


Why Join Us?

  • Be at the forefront of cloud monitoring and automation.
  • Collaborate with talented DevOps and engineering teams.
  • Work in a flexible, fast-paced environment with growth opportunities.



Interested in making an impact with your skills in Datadog and cloud monitoring? Apply now and join our team in driving operational excellence


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