Your key responsibilities
Implement AIOps capabilities including anomaly detection, event correlation, alert noise reduction, incident prioritization, and automated remediation.
Design and maintain observability solutions using logs, metrics, traces, and events.
Build telemetry pipelines using OpenTelemetry and related technologies.
Develop automation and self-healing workflows using Python, PowerShell, Bash, or Go.
Implement AI-powered operational assistants, incident triage, and RAG-based knowledge solutions.
Integrate observability, CI/CD, ITSM, and cloud platforms to improve operational intelligence.
Support SRE practices including SLIs, SLOs, incident management, and reliability improvements.

Skills and attributes for success

Required Skills
AIOps and Observability Platforms (Dynatrace, Datadog, Splunk,



Current Relic, Azure Monitor, Prometheus/Grafana)
Microsoft Azure and/or AWS
Kubernetes and Containers
OpenTelemetry and telemetry pipelines
Python and automation scripting
GitHub Actions and/or Azure DevOps
Incident Management and SRE fundamentals

Positive To Have
Semantic Kernel, LangGraph, LangChain
Azure AI Foundry or Azure OpenAI
Kafka, Elasticsearch/OpenSearch
Terraform, ArgoCD
ServiceNow integrations

Education:

Degree: Bachelors degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience

📌 Cloud Aiops Chennai
🏢 EY
📍 Chennai