AI Ops Engineer

About the role

Hewlett Packard Enterprise is seeking an AI Ops Engineer to design, develop, and maintain intelligent monitoring and incident‑response workflows across cloud and on‑premises environments. This hybrid position requires you to work on‑site two days a week, collaborating with DevOps, Site Reliability, and security teams to enhance platform reliability.

Key responsibilities

• Design and maintain automated monitoring and incident‑response workflows for hybrid infrastructures.
• Build and optimise data pipelines that collect, normalise, 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.
• Collaborate with cross‑functional teams to improve performance, availability, and operational governance.

Required profile

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5–8 years of experience in IT operations, reliability engineering, platform engineering, or AI‑driven automation.
• Proven ability to design and implement large‑scale monitoring and automation solutions.

Required skills

• Python for automation and data processing.
• Observability platforms such as Splunk, Datadog, Prometheus, or Grafana.
• Cloud platforms (Azure, AWS, or Google Cloud) – preferred.
• Service‑management and orchestration tools like ServiceNow, PagerDuty, or Rundeck – beneficial.
• Knowledge of machine‑learning model lifecycle management and deployment.

What we offer

• Hybrid work arrangement with two days per week on‑site.
• Relocation support.