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IT Services and IT Consulting, Software Development

Kubernetes and Terraform Platform Engineer

Toronto, Ontario, CanadaHybridContractPosted 2 months ago

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Location:
Hybrid – Greater Toronto Area (Downtown Toronto office, 2–3 days onsite)

Contract:
8 months with possible extension

Role Overview

Our client is looking for a Platform Engineer with strong experience in Kubernetes and Terraform to support the development and deployment of cloud-native infrastructure and data platform components. This role will focus on infrastructure automation, Kubernetes deployments, and CI/CD workflows using GitHub Actions.

Key Responsibilities

  • Design, implement, and maintain infrastructure using Terraform, primarily focused on PostgreSQL Flexible Server (PG Flex) and related cloud services.
  • Deploy and manage containerized workloads on Kubernetes clusters.
  • Build and maintain CI/CD pipelines using GitHub Actions for Kubernetes deployments.
  • Collaborate with platform, DevOps, and engineering teams to support reliable application and infrastructure delivery.
  • Automate infrastructure provisioning, configuration, and deployment processes.
  • Monitor and troubleshoot infrastructure and container platform issues.
  • Ensure infrastructure and deployments follow security, reliability, and operational best practices.

Required Skills & Experience

  • 5+ years of hands-on experience with Kubernetes (deployment, configuration, and operations).
  • 5+ years of experience using Terraform for infrastructure-as-code, particularly with PostgreSQL Flexible Server or similar managed database services.
  • Experience implementing CI/CD pipelines using GitHub Actions.
  • Experience deploying and managing applications in containerized environments.
  • Strong troubleshooting and problem-solving skills in cloud-based environments.
  • Ability to work collaboratively with engineering and platform teams.

Nice to Have

  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Experience with infrastructure monitoring and logging tools.
  • Experience supporting data platforms or analytics workloads.
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