AI Operations Engineer: Hybrid Cloud Automation

Hewlett Packard Enterprise Company in; San Juan (PR); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Relocation support

Health & wellbeing benefits

Professional development programs

Job summary

Hewlett Packard Enterprise is seeking an AI Ops Engineer to design intelligent monitoring and automate incident response for cloud and on‑prem environments. You will build data pipelines, develop predictive models, and collaborate with DevOps, SRE, and security teams to improve platform reliability.

Ideal candidates hold a CS/IT degree and 5–8 years of experience in IT operations or AI‑driven automation, with strong Python and observability tool knowledge (Splunk, Datadog, Prometheus, Grafana).

Qualifications

• 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 tooling.
• Experience with observability platforms (Splunk, Datadog, Prometheus, Grafana).
• Knowledge of cloud platform operations (Azure, AWS, GCP) is preferred.
• Knowledge of ML model lifecycle management and deployment is advantageous.
• Experience with IT service management and workflow orchestration tools such as ServiceNow, PagerDuty, or Rundeck is beneficial.

Responsibilities

• Design and maintain intelligent monitoring and incident response workflows across 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 governance.

Skills

Python automation

Reliability engineering

AI-driven operations

Observability mindset

Education

Bachelor's degree in Computer Science/IT or related field

Tools

Splunk

Datadog

Prometheus

Grafana

ServiceNow

PagerDuty

Rundeck

Job description

Hewlett Packard Enterprise is seeking an AI Ops Engineer to design intelligent monitoring and automate incident response for cloud and on‑prem environments. You will build data pipelines, develop predictive models, and collaborate with DevOps, SRE, and security teams to improve platform reliability.

Ideal candidates hold a CS/IT degree and 5–8 years of experience in IT operations or AI‑driven automation, with strong Python and observability tool knowledge (Splunk, Datadog, Prometheus, Grafana).