IT System Architect - US

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.