AI Ops Engineer

Hewlett Packard Enterprise • San Juan, PR

1d • Hybrid

About The Position

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description Job Family Definition: Designs, develops, troubleshoots, and debugs software programs for enhancements and new product development. Develops software components such as operating systems, compilers, routers, networks, utilities, databases, and Internet-related tools. Assesses hardware compatibility and/or influences hardware design decisions. Management Level Definition: Applies specialized subject matter expertise to resolve common and occasionally complex technical challenges, recommending alternatives as needed. May act as a project lead and provide guidance to junior professionals. Exercises independent judgment and collaborates with others to determine the most effective methods for accomplishing work and achieving objectives.

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 roles focused on AI-driven operations and automation.
• Proficiency in Python for automation, data processing, and operational tooling — required.
• Experience with observability platforms such as Splunk, Datadog, Prometheus, or Grafana — required.

Nice To Haves

• Familiarity with cloud platform operations (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.

Responsibilities

• Design and maintain intelligent monitoring and incident response workflows across both cloud and on-premises systems.
• Build and optimize data pipelines to 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 enhance system reliability.
• Collaborate with DevOps, Site Reliability, and security teams to improve platform performance, availability, and operational governance.

Benefits

• Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
• Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level