# AI Ops Engineer

**Company**: Hewlett Packard Enterprise
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/San-Juan-Puerto-Rico-Puerto-Rico/AI-Ops-Engineer_1212266?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3b1f8072-406

## Description

We are seeking an AI Ops Engineer to join our team. As an AI Ops Engineer, you will work on average 2 days per week from an HPE office. You will be responsible for designing and maintaining intelligent monitoring and incident response workflows across both cloud and on-premises systems.

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.

What We Can Offer You:

- 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.

- Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness.

## Skills

### Required
- Python
- Splunk
- Datadog
- Prometheus
- Grafana

### Nice to have
- Azure
- AWS
- Google Cloud
- machine learning model lifecycle management
- ServiceNow
- PagerDuty
- Rundeck

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/San-Juan-Puerto-Rico-Puerto-Rico/AI-Ops-Engineer_1212266?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)