AI Ops Engineer

AI Ops Engineer

  

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

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.

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.

Education and Experience Required:

• 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.

Knowledge and Skills:

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

Relocation support is provided for eligible candidates

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.

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Job:

Engineering

Job Level:

TCP_03

    

    

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.