Systems/Software Engr

Overview

AIOps Engineer role focused on intelligent monitoring, incident response, and operational analytics across cloud and on-premises systems.

What you'll do

• Design and maintain intelligent monitoring and incident response workflows across cloud and on-premises systems.
• Build and optimize data pipelines that collect, normalize, and enrich logs, metrics, and events for operational analytics.
• Develop and deploy predictive models to detect anomalies, forecast outages, and reduce mean time to resolution.
• Automate remediation runbooks and integrate alerting with service management platforms to improve reliability.
• Partner with DevOps, Site Reliability, and security teams to improve platform performance, availability, and operational governance.

What you'll need

• Bachelor's degree in computer science, Information Technology, or a related field.
• 2-5 years of experience in IT operations, reliability engineering, or platform engineering, including AI-driven operations or automation-focused roles.
• Python for automation, data processing, and operational tooling.
• Observability platforms (for example, Splunk, Datadog, Prometheus, Grafana).
• Cloud platform operations (for example, Azure, AWS, or Google Cloud).
• Machine learning model lifecycle and deployment practices.
• IT service management and workflow orchestration tools (for example, ServiceNow, PagerDuty, Rundeck).

Details

• Onsite role, with an expectation that you will primarily work from an HPE office.
• Location: Bengaluru, Karnātaka, India.
• Job level: TCP_02.