AI Ops Engineer

Location: San Juan, Puerto Rico; hybrid work with an average requirement of 2 days per week from an HPE office.

Company

hirify.global is an edge-to-cloud technology company developing solutions for connecting, protecting, analyzing, and acting on data and applications.

What you will 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 for anomaly detection, outage forecasting, and reducing mean time to resolution.
• Automate remediation runbooks and integrate alerting with service management platforms.
• Collaborate with DevOps, Site Reliability, and security teams to improve platform performance, availability, and operational governance.

Requirements

• 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.
• Proficiency in Python for automation, data processing, and operational tooling.
• Experience with observability platforms such as Splunk, Datadog, Prometheus, or Grafana.

Nice to have

• Familiarity with cloud platform operations using Azure, AWS, or Google Cloud.
• Knowledge of machine learning model lifecycle management and deployment.
• Experience with IT service management and workflow orchestration tools such as ServiceNow, PagerDuty, or Rundeck.

Culture & Benefits

• Hybrid work arrangement with flexibility to manage work and personal needs.
• Health and wellbeing benefits supporting physical, financial, and emotional wellbeing.
• Personal and professional development programs supporting career growth and internal mobility.
• Inclusive workplace focused on individual uniqueness and collaboration.
• Relocation support is provided for eligible candidates.