Cloud AIOps & Automation Engineer

EY; Chennai District; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

EY Chennai is seeking an experienced SRE/Observability Engineer to implement AIOps capabilities, design telemetry pipelines, and integrate CI/CD and cloud platforms to improve operational intelligence.

You will work with Python and automation, OpenTelemetry, and incident management practices to reduce noise, prioritize incidents, and enable self-healing workflows in a fast-paced technology environment.

Qualifications

• Bachelor's degree in CS/Engineering/IT or related field.
• Experience with AIOps and observability platforms.
• Experience with cloud providers (Azure and/or AWS).
• Experience with Kubernetes and containers.
• Proficiency in Python or automation scripting.
• Experience with OpenTelemetry or telemetry pipelines.
• Experience with GitHub Actions or Azure DevOps.
• Familiarity with incident management and SRE fundamentals.

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

AIOps & Observability

Cloud Platforms (Azure/AWS)

Kubernetes & Containers

OpenTelemetry & Telemetry Pipelines

Python & Automation

CI/CD Tools (GitHub Actions/Azure Dev

Incident Mgmt & SRE Fundamentals

Education

Bachelor's degree in CS/Engineering/IT or related field

Tools

Dynatrace

Datadog

Splunk

New Relic

Azure Monitor

Prometheus/Grafana

Job description

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, New 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

Good 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