Elastic AIOps Engineer

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

• Elastic Logstash and Kibana (ELK)

Educational Requirements

Bachelor of Engineering