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Aiops Engineer - Remote Eligible

Build and deploy ML models for anomaly detection and automated incident remediation
Remote
Senior
6 days ago

AIOps Engineer

We are looking for a motivated and goal-oriented AIOps Engineer to join our team.

Apply artificial intelligence to automate IT operations, infrastructure monitoring, and incident resolution. Use ML to detect anomalies, predict failures, and self-remediate issues before they impact the business.

Key Responsibilities:

Implement AIOps platforms (Dynatrace, Datadog, Splunk) Develop ML models for anomaly detection in systems Automate incident response and root cause analysis Create predictive alerting based on historical patterns Implement log aggregation and intelligent analysis Automate capacity planning using ML Develop chatops bots for operations Integrate monitoring tools with automation platforms.

Requirements:

AIOps platforms: Splunk, Dynatrace, Datadog, New Relic, Moogsoft Machine Learning (anomaly detection, time series forecasting) DevOps and SRE practices Cloud platforms (AWS, Azure, GCP) Kubernetes and container orchestration Python for automation and ML ITSM tools: ServiceNow, Jira Log management: ELK Stack, Splunk Monitoring tools: Prometheus, Grafana Scripting: Bash, PowerShell, Python

Applies to individuals located in Latin America

100% Remote Remuneration in dollars Stability and growth opportunities

If you're ready to turn data into game-changing insights, we want to hear from you! Apply today.

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Aiops Engineer - Remote Eligible
Remote
Engineering
About Realtime Analytics By Procalidad