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Job Description
Job Posting: Platform Engineer (x3)
Location: Toronto or Waterloo (Hybrid – 3 days/week: Tuesday, Wednesday, Thursday)
Start Date: May 1, 2026
End Date: November 1, 2026 (with strong potential for full-time conversion)
Rate: $80–$90/hr
Urgency: Immediate hiring (interview slots being scheduled)
Role Overview
We are seeking multiple Platform Engineers to design, deploy, and manage scalable, secure, and high-performance cloud infrastructure environments. The role focuses heavily on Azure cloud platforms, infrastructure automation, and data platform integration using Databricks.
You will work closely with cross-functional teams including security, architecture, and DevOps to ensure robust production systems and seamless cloud operations.
Key Responsibilities
Design, deploy, and manage production-grade cloud infrastructure on Microsoft Azure Ensure optimal performance, scalability, security, and reliability of cloud environments Manage and integrate Databricks environments for data processing and analytics Build infrastructure automation using Terraform (Infrastructure-as-Code) Develop and maintain CI/CD pipelines using GitOps, Jenkins, and scripting (Shell/Groovy) Respond to and resolve production issues with minimal downtime impact Collaborate with security, risk, and architecture teams to align with enterprise standards Manage tasks and workflows in JIRA and participate in agile ceremonies Continuously learn and adopt emerging cloud and DevOps technologies
Must-Have Skills
5+ years in Azure cloud infrastructure management and deployment 3+ years of experience with Databricks 4+ years of experience with Terraform (Infrastructure-as-Code) 4+ years of experience with GitOps, Jenkins, and scripting (Shell/Groovy) 2+ years of Windows system administration 2+ years of Linux system administration 1+ year of networking experience
Nice-to-Have Skills
Experience with Azure Kubernetes Service (AKS) Azure SQL and Azure Data Factory Strong understanding of Azure networking, IAM, and security controls Experience with disaster recovery / business continuity planning Exposure to AI / GenAI platforms and data analytics workloads Experience in enterprise data platform environments
Soft Skills
Strong production troubleshooting and problem-solving abilities Excellent collaboration and stakeholder management skills Ability to work in structured Agile environments Strong documentation and communication skills Proactive, adaptable, and eager to learn Ability to deliver under tight timelines and constraints
Education
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience)
Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.
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