Elastic AIOps Engineer

Hands-on experience with the Elastic Stack in production (Elasticsearch, Logstash, Kibana, Beats/Elastic Agent, APM), including ingestion pipelines, ILM, and performance tuning

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 Open Telemetry 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 Service Now or Pager Duty
-- Good to have: exposure to AI for observability, including LLMs, RAG, vector/semantic search, and Elastic AI Assistant for Observability

Job Location: Bangalore
Joining: Immediate

Education: Bachelor of Engineering

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