Elastic AIOps Engineer

Job Description:

• Hands on experience with the Elastic Stack in production Elasticsearch Logstash Kibana Beats Elastic Agent APM including ingestion pipelines ILM and performance tuning

Key Responsibilities:

• Hands on experience with the Elastic Stack in production Elasticsearch Logstash Kibana Beats Elastic Agent APM including ingestion pipelines ILM and performance tuning
• Strong understanding of observability concepts logs metrics traces SLOs SLIs and alerting with experience building Kibana dashboards service maps and alerts
• Working knowledge of OpenTelemetry and Any Enterprise APM for standardized instrumentation and ECS based data modeling
• Experience with Elastic Machine Learning for anomaly detection forecasting and log categorization
• Knowledge of AIOps practices such as event correlation alert noise reduction root cause analysis and automated remediation with integrations to ITSM tools like ServiceNow or PagerDuty
• Good to have exposure to AI for observability including LLMs RAG vector semantic search and Elastic AI Assistant for Observability

Additional Responsibilities:

• Job Location Bangalore
• Joining Immediate

Preferred Skills:

Technology->DevOps and Continuous Testing->Continuous delivery - Continuous deployment and release->Elastic Logstash and Kibana (ELK)