Elastic AIOps Engineer

About the Role

Elastic AIOps Engineer at Infosys, Bangalore. Immediate joining.

Key Responsibilities

• Managing production environments using the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats/Elastic Agent, APM).
• Developing and maintaining ingestion pipelines and ILM policies.
• Performing performance tuning for the Elastic Stack.
• Implementing observability concepts: logs, metrics, traces, SLOs/SLIs, and alerting.
• Building Kibana dashboards, service maps, and alerts.
• Utilizing OpenTelemetry and Enterprise APM for instrumentation.
• Implementing ECS-based data modeling.
• Leveraging Elastic Machine Learning for anomaly detection, forecasting, and log categorization.
• Applying AIOps practices: event correlation, alert noise reduction, root cause analysis, and automated remediation.
• Integrating with ITSM tools such as ServiceNow or PagerDuty.

Requirements & Tech Stack

• Elastic Stack (Elasticsearch, Logstash, Kibana, Beats/Elastic Agent, APM)
• Observability concepts: logs, metrics, traces, SLOs/SLIs, alerting
• Kibana dashboards, service maps, alerts
• OpenTelemetry
• Enterprise APM
• ECS-based data modeling
• Elastic Machine Learning
• AIOps practices: event correlation, alert noise reduction, root cause analysis, automated remediation
• ITSM tools: ServiceNow, PagerDuty

Qualifications

• Hands-on experience with the Elastic Stack in production.
• Strong understanding of observability concepts.
• Experience building Kibana dashboards, service maps, and alerts.
• Working knowledge of OpenTelemetry and Any Enterprise APM.
• Experience with Elastic Machine Learning.
• Knowledge of AIOps practices.
• Exposure to AI for observability (LLMs, RAG, vector/semantic search, Elastic AI Assistant for Observability) is a plus.