Hybrid DevOps Engineer for GenAI & Enterprise Web Platforms

Hewlett Packard Enterprise; San Juan (PR); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Hewlett Packard Enterprise in Puerto Rico seeks a hands-on DevOps Engineer to design, build, and operate secure, scalable delivery platforms for enterprise apps powered by Generative AI and modern web technologies. The role blends CI/CD, container orchestration, cloud operations, and observability across on‑premises and AWS environments.

You will collaborate with development, quality, networking, and platform teams to automate repeatable operations, improve release reliability, and strengthen

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, AI, or related field.
• 4–6 years of DevOps, SRE, platform or cloud operations experience.

Responsibilities

• Design, maintain, and improve CI/CD pipelines across development and production environments.
• Operate Docker-based workloads and Kubernetes/k3s clusters, including on‑prem developer sandboxes.
• Provision and manage secure AWS infrastructure with IAM, networking, storage, compute, and monitoring.
• Implement metrics, logs, traces, dashboards, alerts, and runbooks; support incident response and RCAs.
• Build reusable Python utilities and integrate API, performance, reliability, and security validation into CI/CD workflows.
• Support GenAI platform operations including deployment, tracing, and cost visibility for LLM/agent services.

Skills

CI/CD automation

Python

Docker & Kubernetes

AWS

Observability

Security awareness

Team collaboration

Education

Bachelor's degree in CS / ML / AI

Tools

Docker

Kubernetes

k3s

Datadog

Postman

JMeter

Job description

Hewlett Packard Enterprise in Puerto Rico seeks a hands-on DevOps Engineer to design, build, and operate secure, scalable delivery platforms for enterprise apps powered by Generative AI and modern web technologies. The role blends CI/CD, container orchestration, cloud operations, and observability across on‑premises and AWS environments.

You will collaborate with development, quality, networking, and platform teams to automate repeatable operations, improve release reliability, and strengthen