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.
