Senior AI-Driven Integration Engineer — Hybrid (Houston)

Zerto

Spring (TX)

Hybrid

USD 137,000 - 315,000

Full time

11 days ago
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Benefits offered by this job

Health & Wellbeing
Professional Development
Unconditional Inclusion

Job summary

Hewlett Packard Enterprise in Houston, TX seeks a Senior Integration Engineer to help build AI-driven operations by designing, implementing, and supporting integrations across factory environments, cloud platforms, and internal systems.

You will lead troubleshooting across complex distributed systems, develop automation, and leverage AI to improve incident response and productivity while collaborating with Engineering, Manufacturing, Operations, Product and Customer Success.

Qualifications

  • 7-10 years in software/engineering, sustaining engineering, or related roles.
  • Strong troubleshooting across cloud platforms, APIs, integrations, and production environments.
  • Experience with Python, JavaScript/TypeScript, Go, or Java.
  • Experience with databases, monitoring, logging, networking, and automation.

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 to improve reliability at scale.
  • Design, build, and support integrations between factory environments, cloud platforms, internal systems, and third-party apps.
  • Develop automation that reduces manual effort across onboarding, diagnostics, deployments, monitoring, and support.
  • Leverage AI and LLM technologies to improve troubleshooting and operational efficiency.
  • Collaborate with Engineering, Manufacturing, Operations, Product, and Customer Success

Skills

Troubleshooting Cloud
APIs & Integrations
Programming languages
Automation

Tools

Kubernetes
CI/CD
Observability

Job description

Hewlett Packard Enterprise in Houston, TX seeks a Senior Integration Engineer to help build AI-driven operations by designing, implementing, and supporting integrations across factory environments, cloud platforms, and internal systems.

You will lead troubleshooting across complex distributed systems, develop automation, and leverage AI to improve incident response and productivity while collaborating with Engineering, Manufacturing, Operations, Product and Customer Success.

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