Cloud Architect - Remote Diagnostics & Connected Services

Pi-Square Technologies LLC
Brookfield, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Brookfield, United States of America

Tech stack

API
Amazon Web Services (AWS)
Azure
Cloud Computing
Cloud Engineering
Distributed Systems
Event-Driven Programming
Cloud Services
Data Streaming
Systems Integration
Data Logging
Enterprise Software Applications
Cloud Platform System
System Availability
Event Driven Architecture
Containerization
Kubernetes
REST
Docker
Legacy Systems
Microservices

Job description

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

Requirements

  • 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

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