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AIOPs Platform Engineer-Senior

Location:  Hyderabad

Other locations:  Anywhere in Country

Salary: Competitive

Date:  Jul 17, 2026

Job description

Requisition ID:  1668303

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Job Title: AIOps Strategy & Implementation Engineer – Senior

Job Summary:

We are seeking a Senior AIOps Strategy & Implementation Engineer with up to 8 years of experience in observability platforms, automation workflows, cloud/infrastructure operations, and AI-driven operational analytics. The ideal candidate will have hands-on experience implementing AIOps capabilities, integrating monitoring/telemetry systems, building automation pipelines, and supporting AI/ML model deployment focused on IT operations—not traditional ML development.

Key Responsibilities:

• Implement and integrate AIOps solutions across cloud and on-prem environments to enhance incident detection, correlation, and automated remediation.
• Configure, manage, and optimize observability platforms (logs, metrics, traces) including ingestion pipelines, dashboards, alerting rules, and topology views.
• Build automation workflows for operational tasks such as event triage, remediation actions, resource optimization, and predictive maintenance.
• Collaborate with platform, cloud, and operations teams to onboard new services, data sources, and operational signals into the AIOps ecosystem.
• Support deployment, integration, and operationalization of AI/ML models used for anomaly detection, event correlation, forecasting, and noise reduction (not model training).
• Develop and implement playbooks, runbooks, and automated actions in line with SRE, DevOps, and cloud operations practices.
• Troubleshoot issues related to observability ingestion, integration connectors, pipeline performance, and automation workflows.
• Participate in architectural discussions, tool evaluations, and AIOps capability uplift initiatives.
• Ensure compliance with security, governance, IAM, and data handling guidelines in the AIOps and observability ecosystem.
• Document configurations, workflows, integrations, and operational guidelines for AIOps platform usage.

Qualifications:

• Up to 8 years of experience in cloud/infrastructure operations, SRE, observability engineering, or automation engineering.
• Strong hands-on experience with observability tools (e.g., ELK/Elastic, Prometheus, Grafana, Dynatrace, AppDynamics, Datadog, New Relic, Splunk, or equivalent).
• Experience building workflows using automation frameworks or orchestration tools (e.g., Ansible, ServiceNow, Rundeck, Azure Automation, Lambda/Functions).
• Familiarity with AI/ML model deployment concepts for IT operations (consumption of models, not development).
• Understanding of event management, correlation engines, topology mapping, and CMDB integrations.
• Proficiency with scripting languages (Python, PowerShell, Bash) for automations and integrations.
• Knowledge of cloud platforms (Azure/AWS/GCP), their monitoring services, and operational data flows.
• Bachelor’s degree in Information Technology, Computer Science, or related discipline.

Preferred Skills:

• Experience with SRE practices, auto-remediation frameworks, and service health modeling.
• Understanding of log pipelines, telemetry routing, data normalization, and enrichment.
• Exposure to ITSM platforms and integrations (ServiceNow preferred).
• Strong analytical skills for troubleshooting observability and automation issues.
• Ability to work across multiple teams, communicate technical concepts clearly, and support platform adoption.

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

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