AI Ops Engineer (Hybrid)

About the role

We are looking for an AI Ops Engineer to join Hewlett Packard Enterprise’s edge‑to‑cloud team. The position is hybrid, requiring you to work on‑site at an HPE office two days a week while the rest can be performed remotely. You will help design intelligent monitoring and automation solutions that keep our cloud and on‑premise platforms reliable and performant.

Key responsibilities

• Design, implement and maintain monitoring and incident‑response workflows for both cloud and on‑premises environments.
• 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 alerts with service‑management platforms to improve system reliability.
• Collaborate with DevOps, Site Reliability Engineering and security teams to enhance platform performance, availability and governance.

Required profile

• Bachelor’s degree in Computer Science, Information Technology or a related discipline.
• 5‑8 years of experience in IT operations, reliability or platform engineering, preferably with a focus on AI‑driven automation.

Required skills

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

What we offer

• Relocation support for eligible candidates.