AI Ops Engineer

About the role

Hewlett Packard Enterprise is hiring an AI Ops Engineer in San Juan, Puerto Rico. The role is hybrid, with an average of 2 days per week spent in an HPE office. The engineer designs, develops, troubleshoots and debugs software for new products, assesses hardware compatibility and works independently while collaborating with others.

Key responsibilities

• 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.
• Work with DevOps, Site Reliability and security teams to improve platform 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 operations and automation.
• Relocation support is provided for eligible candidates.

Required skills

• Python for automation, data processing and operational tooling (required).
• Observability platforms such as Splunk, Datadog, Prometheus or Grafana (required).
• Familiarity with Azure, AWS or Google Cloud (preferred).
• Knowledge of machine learning model lifecycle management and deployment (advantageous).
• Experience with IT service management and workflow orchestration tools such as ServiceNow, PagerDuty or Rundeck (beneficial).

What we offer

• Benefits supporting physical, financial and emotional wellbeing.
• Programs for personal and professional development.
• An inclusive workplace with flexibility to manage work and personal needs.