Cloud Engineer IV

National Spinning Co., Inc. (USA); Toronto; Remote; CAD 120,000 - 160,000; Full time

Job summary

An established industry player is seeking a Cloud Engineer to design and implement large-scale data ecosystems. In this dynamic role, you will collaborate with cross-functional teams, leveraging your expertise in cloud platforms and automation tools to enhance operational efficiency. You will be at the forefront of transforming businesses through innovative cloud solutions, ensuring seamless integration and deployment of data ecosystems. If you are passionate about technology and eager to make a significant impact in a fast-paced environment, this opportunity is perfect for you.

Qualifications

• 5-8 years of industry experience in cloud engineering.
• Hands-on experience with CI/CD, Docker, and Kubernetes.
• Proficiency in Infrastructure as Code tools like Terraform.

Responsibilities

• Design and implement large-scale data ecosystems in a DevOps environment.
• Automate infrastructure provisioning using IaC practices.
• Optimize cloud infrastructure and troubleshoot technical issues.

Skills

Cloud Engineering

Problem Solving

Communication Skills

Java

Python

.NET

Education

Bachelor's Degree in Computer Science

Tools

CI/CD

Docker

Kubernetes

Terraform

AWS

Azure

GCP

Git

Prometheus

Grafana

Job description

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.
• 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:

• 5-8 Years of Industry Experience
• Hands-on experience with CI/CD pipelines, Docker, and Kubernetes.
• Proven experience in cloud engineering or a similar role.
• Strong understanding of cloud platforms (e.g., AWS, Azure, GCP).
• 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 oral.

Nice to have:

• Experience in Git, Redhat OpenShift, VMWare, Databricks, Snowflake, Python, OpenSearch, ElasticSearch, Oracle or MS SQL DBs.
• Familiarity with other IaC tools such as CloudFormation or Ansible.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• AWS, Microsoft Azure, or Google Cloud certifications.

Education

• Four years of College resulting in a Bachelor's Degree or equivalent Bachelor's in Business, Computer Science, Engineering, or related field.

Due to U.S. Government requirements applicable to foreign-owned telecommunications providers, non-US citizens may be required to submit to an extensive government agency background check which will necessitate disclosure of sensitive Personally Identifiable Information.

The pay range for this role is:

120,000 - 160,000 CAD per year (Remote - Toronto, CA)