Senior AIOps Platform Engineer

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

💸 Finance

Finance • Consulting • Technology

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive salary