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UptimeAI

IT System Architect - US

Remote - USA · Remote · FullTime · Customer Successs & Delivery

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About the role

Node.jsPythonAWSGCPAzureDockerKubernetes
IT System Architect - US Role Overview The System Architect will own the end-to-end IT architecture for UptimeAI deployments across customer environments, ensuring secure, scalable, and reliable integration between industrial systems, cloud infrastructure, and enterprise IT. The ideal candidate combines strong IT/OT expertise with hands-on experience in cloud technologies, enterprise integration, and industrial data connectivity. Key Responsibilities Solution Architecture & Pre-Sales - Design and document end-to-end solution architectures across customer environments. - Define secure, scalable architectures integrating OT data, edge systems, cloud platforms, and enterprise IT. - Lead technical discovery and assess customer infrastructure, security requirements, and integration needs. Implementation & Integration - Own the IT architecture throughout customer onboarding, deployment, and rollout. - Define connectivity, network, firewall, port, server, and data pipeline requirements. - Partner with customer IT teams to resolve dependencies and ensure readiness against implementation timelines. - Support authentication, storage, backup, and other enterprise IT requirements. Testing & Go-Live - Develop standardized IT checklists for internal teams and customers, covering responsibilities, dependencies, and readiness. - Create and maintain testing procedures to validate connectivity, data flow, integrations, and system stability. - Oversee system integration and performance testing, ensuring production readiness before handover. - Develop IT runbooks, SOPs, monitoring dashboards, and technical documentation. - Provide Tier 2/Tier 3 support for IT-related issues and contribute to continuous improvement across deployments. Preferred Skills & Experience - 5+ years of experience in IT/OT architecture, including 2–3 years in predictive maintenance or industrial AI. - Strong understanding of industrial automation, sensor data, and protocols such as OPC and Modbus. - Hands-on experience with cloud platforms (Azure, AWS, or GCP), Kubernetes/Docker, databases, and data lakes. - Familiarity with Python or Node.js for integration and troubleshooting. - Experience leading technical discovery and architecture workshops with enterprise customers. - Strong ownership, problem-solving, and cross-functional collaboration skills in a fast-paced environment.