Cloud Architect - Remote Diagnostics & Connected Services

Cloud Architect - Remote Diagnostics & Connected Services at Pi Square Technologies Cloud Architect - Remote Diagnostics & Connected Services at Pi Square Technologies in Carol Stream, Illinois Posted in about 1 hour ago.

Type: work-from-home Job Description: Role Overview We are looking for an experienced Cloud Architect - Remote Diagnostics to define and guide the architecture of cloud based remote diagnostics and troubleshooting platforms for connected products.

The role focuses on modernizing legacy architectures, enabling scalable, API driven solutions, and supporting cloud to device communication models to enable advanced diagnostics and remote troubleshooting capabilities.

This position plays a key role in shaping enterprise grade, scalable platforms that integrate vehicle, cloud, and enterprise systems while supporting future ready diagnostic workflows.

Responsibilities: Cloud Architecture & Modernization Define end to end cloud architectures for remote diagnostics and troubleshooting platforms spanning device, cloud, and enterprise systems Lead the modernization of legacy, stateful systems toward stateless, API driven architectures Establish architectural principles for scalability, modularity, and long term maintainability Remote Diagnostics & Platform Integration Architect a unified remote diagnostics and troubleshooting ecosystem by integrating existing platforms and enterprise applications Define integration patterns using REST APIs, asynchronous callbacks, and event driven mechanisms Enable seamless orchestration across diagnostics services, analytics platforms, and enterprise backends Diagnostics Workflow Enablement Design platform level architecture to support: o Advanced remote troubleshooting workflows o Automated diagnostics and orchestration flows o Consistent service oriented interaction models Ensure architecture supports non disruptive evolution of diagnostic capabilities over time Cloud to Device & IoT Communication Define architectures for cloud to device communication using IoT and messaging based patterns Support use cases such as: o Remote diagnostics initiation o Device state synchronization o Asynchronous command and response flows Enable scalable device onboarding and interaction models suitable for large fleets Scalability, Reliability & Observability Design architectures capable of supporting high volume, distributed deployments Define patterns for: o Horizontal scalability o High availability and resiliency o Monitoring, logging, and operational visibility Ensure diagnostic platforms meet expected performance and responsiveness requirements Cloud Platform Leadership Architect cloud solutions using AWS and/or Azure, including: o API and microservices platforms o Messaging and streaming frameworks o Cloud native data and integration services Define reference architectures using: o Containerized workloads (Docker, Kubernetes) o Cloud native deployment and scaling mechanisms Stakeholder & Architecture Governance Act as a technical authority for cloud and platform architecture discussions Collaborate with product, engineering, and platform teams to translate requirements into architectural solutions Create and maintain architecture artifacts such as: o System context diagrams o Logical and physical architecture views o Integration and interaction flows Requirements: Required Skills & Experience 12-15+ years of professional experience, with strong focus on cloud and distributed systems architecture Proven experience designing remote diagnostics, connected systems, or IoT based platforms Strong expertise in: Stateless API based architectures Microservices and event driven systems IoT or messaging based communication models Experience integrating legacy systems into modern cloud platforms Hands on architecture experience with AWS and/or Azure Strong ability to communicate architectural concepts to diverse technical stakeholders Strong analytical and problem solving mindset Clear communication and architecture storytelling skills Ability to balance technical, operational, and scalability trade offs Comfortable working across cross functional and globally distributed teams Preferred Skills: Exposure to service oriented diagnostic architectures Experience with remote operations or lifecycle support platforms Familiarity with enterprise aftersales, service tools, or fleet platforms Experience supporting multi region or large scale deployments