IT System Architect
UptimeAI
IT System Architect
UptimeAI
AI-driven predictive maintenance for industrial operations
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.
UptimeAI provides AI-driven predictive maintenance and operational efficiency solutions for industrial users. Its platform uses deep learning to learn how different parts of an operation interact, which lowers alarm fatigue and delivers precise alerts that identify the root cause of issues. This helps clients in sectors like chemicals, utilities, oil, metals, and aerospace reduce unscheduled maintenance and improve reliability. The product is delivered via a subscription model, giving ongoing access to software and support. UptimeAI differentiates itself through its system-level approach to relate components within an operation, focus on reducing maintenance costs and disruptions, and a team of industry experts and data scientists. The company aims to help customers save time and money by improving reliability and efficiency while maintaining margins.
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