Principal AI-Driven Integration Engineer (Hybrid)

Hewlett Packard Enterprise

Spring (TX)

Hybrid

USD 152,000 - 349,000

Full time

14 days+

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Benefits offered by this job

Health & Wellbeing
Career development
Inclusive environment

Job summary

Hewlett Packard Enterprise Development LP in Houston, TX is seeking a Principal Integration Engineer - PCE to lead complex integrations across factory environments, cloud platforms, and enterprise systems in a hybrid work model.

You will design, build, and support AI-enabled integrations, drive reliability, and collaborate with cross-functional teams to deliver scalable solutions for private cloud and engineered systems.

Qualifications

  • 10+ years in software engineering, sustaining engineering, or a related role.
  • Strong troubleshooting skills across cloud platforms, distributed systems, APIs, integrations, and production environments.
  • Experience with Python, JavaScript/TypeScript, Go, Java, or similar technologies.

Responsibilities

  • Lead investigation and resolution of complex production issues across applications, APIs, cloud services, integrations, data pipelines, and factory systems.
  • Perform root‑cause analysis and drive permanent fixes that improve reliability at scale.
  • Design, build, and support integrations between factory environments, cloud platforms, internal systems, and third‑party applications.
  • Develop automation that reduces manual effort across onboarding, diagnostics, deployments, monitoring, and support.
  • Leverage AI and LLM technologies to improve troubleshooting, incident response, knowledge management, and operational efficiency.

Skills

Python
JavaScript/TypeScript
Go
Java
APIs & integrations
Cloud platforms

Tools

Kubernetes
CI/CD
Observability

Job description

Hewlett Packard Enterprise Development LP in Houston, TX is seeking a Principal Integration Engineer - PCE to lead complex integrations across factory environments, cloud platforms, and enterprise systems in a hybrid work model.

You will design, build, and support AI-enabled integrations, drive reliability, and collaborate with cross-functional teams to deliver scalable solutions for private cloud and engineered systems.

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