> Markdown version of [/jobs/ext/3030053-senior-integration-engineer-pce-houston-tx](https://www.wearedevelopers.com/jobs/ext/3030053-senior-integration-engineer-pce-houston-tx). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Integration Engineer - PCE (Houston, TX) - **Company:** Hewlett-Packard Enterprise - **Location:** Spring, TX, United States - **Experience:** Expert - **Salary:** $137,000.0 - $315,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Databases, Continuous Integration, DevOps, Distributed Systems, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), Knowledge Management, Message Queuing Telemetry Transport (MQTT), Reliability Engineering, Software Tools, Cloud Services, OPC Unified Architecture, Software Engineering, Systems Integration, TypeScript, Data Logging, Large Language Models, Kubernetes, Enterprise Integration, Data Pipelines, Golang - **Published:** September 22, 2026 - **Apply:** https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Spring-Texas-United-States-of-America/Senior-Integration-Engineer---PCE--Houston--TX-_1213730-2 ## About the Role * 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. Preferred * 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. The Ideal Candidate You're a builder, problem solver, and relentless optimizer. You naturally look for patterns, automate repetitive work, and challenge inefficient processes. You see AI not as a buzzword, but as a powerful tool for creating smarter systems, faster decisions, and better outcomes. If you're excited about helping build the next generation of AI-driven operations supporting mission-critical private cloud and engineered systems, we'd love to hear from you. ## Description This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office., * 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. What Success Looks Like * Become a trusted escalation point for our most challenging technical issues. * Improve the reliability and scalability of our factory-to-cloud ecosystem. * Reduce recurring incidents through automation and root-cause elimination. * Build AI-powered capabilities that improve engineering and support productivity. * Help create a more proactive, intelligent, and highly automated operating model.