Senior Integration Engineer - PCE (Houston, TX)

Hewlett Packard Enterprise•Spring, TX

10d•$137,000 - $315,000•Hybrid

About The Position

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Why This Role Matters Help us build the future of AI-driven operations. Our team designs, delivers, and supports mission-critical private cloud and engineered systems solutions that power some of the world's most demanding enterprise environments. In this role, you will help transform support from a reactive function into a proactive, AI-enabled engineering capability by improving reliability, building resilient integrations, automating operational work, and preventing issues before they impact customers.

Requirements

7 -10 years in software engineering, sustaining engineering, integration engineering, SRE, production 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.
Experience with databases, monitoring, logging, networking, and automation.
Strong communication, collaboration, and problem-solving skills.

Nice To Haves

Manufacturing, factory, IoT, edge, or operational technology experience.
Experience with Azure, AWS, or GCP.
Familiarity with MQTT, OPC UA, SCADA, MES, PLCs, or similar technologies.
Kubernetes, CI/CD, observability, and modern DevOps practices.
Experience with AI, LLMs, agents, RAG, vector databases, or AI-powered engineering tools.

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.
Partner across Engineering, Manufacturing, Operations, Product, and Customer Success to solve high-impact business problems.