Job Description

This is a remote position.
Job Title: Freelance Trainer / Consultant - AIOps (Splunk Observability & Dynatrace)
Job Type: Freelance
Location: Remote
Duration: Standard (as per project/training requirement)
Experience: 10+ years (Minimum 3+ years of relevant AIOps experience)
:
We are looking for an experienced AIOps professional or trainer with strong expertise in Splunk Observability and Dynatrace to deliver advanced technical sessions, implementation guidance, and best practices. The role involves designing and conducting training programs or consulting engagements focusing on monitoring, automation, and AI-driven operations.
Key Responsibilities:
Deliver in-depth sessions on AIOps concepts, architecture, and use cases.
Provide hands-on training and lab exercises on Splunk Observability Cloud and Dynatrace Platform.
Explain the integration of AIOps tools with DevOps, ITSM, and Cloud ecosystems.
Guide participants in implementing real-time anomaly detection, predictive alerting, and root cause analysis.
Demonstrate dashboard creation, metric correlation, tracing, and synthetic monitoring.
Share insights on performance tuning, automation workflows, and AI-driven insights.
Evaluate participants' understanding and provide performance feedback.
Required Skills and Expertise:
Core AIOps Skills:
Strong understanding of AIOps lifecycle - data collection, correlation, analytics, automation.
Knowledge of machine learning in IT operations (anomaly detection, noise reduction, event correlation).
Familiarity with observability pillars - metrics, logs, and traces.
Splunk Observability Stack:
Splunk Observability Cloud, Splunk APM, Splunk Infrastructure Monitoring, Splunk Log Observer.
Experience with SignalFlow, OpenTelemetry, and synthetic monitoring.
Hands-on with alerting, dashboards, service maps, and correlation analysis.
Integration with Splunk Enterprise / ITSI (IT Service Intelligence).
Dynatrace Platform:
Experience with Dynatrace OneAgent, Davis AI, Smartscape topology, and PurePath tracing.
Expertise in Real User Monitoring (RUM) and Synthetic Monitoring.
Proficiency in problem detection, root cause analysis, and automation workflows.
Understanding of Dynatrace Metrics, Logs, Events (MLE) framework.
Additional Skills:
Cloud Platforms: AWS, Azure, or GCP monitoring integrations.
DevOps Tools: Jenkins, Git, Kubernetes, Docker, Terraform.
ITSM Integrations: ServiceNow, Jira, or Remedy.
Scripting: Python, Shell, or PowerShell (for automation).
Excellent communication and presentation skills for technical audiences.

Skills Required