Cloud Architect

OnX is a leading technology solution provider that serves businesses, healthcare organizations, and government agencies across Canada. OnX combines deep technical expertise with a full suite of flexible technology solutions—including Generative AI, Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, OnX delivers comprehensive technology solutions for its clients’ transformative business initiatives. For more information, please visit www.onx.com.

Overview

In today's rapidly evolving environment, organizations need to make data-driven decisions that deliver enterprise value. Our OnX Cloud and Artificial Intelligence practitioners design, develop, and implement large-scale data ecosystems, leveraging cloud-based platforms to integrate structured and unstructured data. We utilize automation, cognitive, and science-based techniques to manage data, predict scenarios, and prescribe actions. By continuously optimizing our cloud infrastructure and providing As-a-Service offerings, we ensure ongoing insights and improvements to enhance operational efficiency. We assist clients in transforming their businesses by developing organizational intelligence programs and strategies, enabling them to stay ahead in their markets.

Our team works with clients to:

• Implement large-scale data ecosystems, including data management, governance, and the integration of structured and unstructured data to generate insights using cloud-based platforms.
• Use automation, cognitive, and science-based techniques to manage data, predict scenarios, and prescribe actions.
• Enhance operational efficiency by maintaining data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements.

Responsibilities

As a Cloud Engineer, you will:

• Design, develop, and implement large-scale data ecosystems: Collaborate with cross-functional teams to ensure seamless integration and deployment of data ecosystems in a DevOps environment, utilizing CI/CD, Docker, and Kubernetes.

• Automate infrastructure provisioning and management using Infrastructure as Code (IaC) practices: Employ automation, cognitive, and science-based techniques to manage data, predict scenarios, and prescribe actions.

• Collaborate with cloud partners and internal teams to support new technologies and use cases. Develop estimates and strategies for proposals and Statements of Work (SOWs).

• Cloud Landing Zone Deployment Designs- Deploy a modular and scalable configuration of the Clients GCP organization, including requisite cloud resources, to facilitate secure adoption of Google Cloud for the Clients business needs.

• Support the technical implementation of cloud solutions: Troubleshoot and resolve technical issues to maintain operational efficiency. Provide technical guidance and support during the implementation and maintenance phases.

• Optimize cloud infrastructure: Stay updated with the latest cloud technologies and best practices to ensure the infrastructure remains cutting-edge and provide solutions to complex data-related challenges. Maintain data ecosystems, source analytics expertise, and provide As-a-Service offerings for continuous insights and improvements.

Requirements

Required:

• Hands-on experience with CI/CD pipelines, Docker, and Kubernetes.
• Proven experience in cloud engineering or a similar role.
• Strong understanding of Google cloud platforms.
• Proficiency in Infrastructure as Code (IaC) tools, especially Terraform.
• Solid understanding of networking, security, and DevOps practices.
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• 2+ years of experience in Java, .NET or Python
• Effective communication skills, written and