Description
We are seeking a Principal Integration Engineer to join our team in Houston, TX. As a Principal Integration Engineer, you will play a critical role in designing, delivering, and supporting mission-critical private cloud and engineered systems solutions. 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.
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.
Requirements:
- 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 Qualifications:
- 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.