Dynatrace + AI Engineer

1 day ago


Remote, India MM Staffing & Career Consultants Full time ₹ 12,00,000 - ₹ 36,00,000 per year


Job Description:

We are looking for a skilled Dynatrace + AI Engineer to enhance our observability and AIOps capabilities. This role involves implementing and optimizing Dynatrace solutions, leveraging AI-driven insights for proactive monitoring, incident management, and performance optimization. The ideal candidate will have expertise in Dynatrace, AI/ML, and cloud environments, ensuring high availability and performance of critical applications.

Key Responsibilities:

  • Deploy, configure, and optimize Dynatrace for full-stack observability, including infrastructure, applications, and cloud environments.
  • Implement AI-powered monitoring and anomaly detection to proactively identify and resolve performance bottlenecks.
  • Utilize Dynatrace Davis AI for automated root cause analysis and predictive analytics.
  • Integrate Dynatrace with AIOps platforms and automation tools to enhance incident response and remediation.
  • Define and implement custom dashboards, alerts, and reports to provide actionable insights.
  • Work closely with DevOps, SRE, and Cloud teams to optimize system performance and reliability.
  • Conduct performance testing and tuning for applications using AI-driven analytics.
  • Stay updated on emerging trends in AIOps, observability, and Dynatrace innovations.

Required Skills & Qualifications:

  • 3+ years of experience with Dynatrace, including setup, configuration, and troubleshooting.
  • Experience with Dynatrace Davis AI, Smartscape, and Business Analytics.
  • Strong knowledge of AIOps, machine learning, and predictive analytics in observability.
  • Familiarity with cloud platforms like AWS, Azure, or GCP and Kubernetes.
  • Proficiency in automation scripting (Python, PowerShell, or Ansible) for monitoring tasks.
  • Experience with CI/CD pipelines and DevOps practices.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Certification in Dynatrace, AI/ML, or Cloud (AWS/Azure/GCP).
  • Experience with log analytics tools like Splunk, ELK, or Datadog.
  • Hands-on experience in IT operations analytics (ITOA) and predictive maintenance.


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