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Cloud Engineer - Early Career (Canada)

Provision and manage cloud infrastructure using infrastructure-as-code and maintain CI/CD pipelines for reliable code deployment. Monitor system health, manage containerized workloads, and implement cost optimization strategies.

  • On-site
  • Canada
  • Posted Aug 13, 2026
  • 1 position

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Job summary

Jobright is your personal AI job search agent that transforms the way you do job search. They are seeking a Cloud Engineer to provision and manage cloud infrastructure, build CI/CD pipelines, and monitor system health while ensuring cost optimization. Why Join Us • Build real, production AI agents used by real users • High ownership and impact • Work at the intersection of AI, agents, and product • Shape how people experience AI-driven job search Responsibilities • Provision, configure, and manage cloud infrastructure across development, staging, and production environments using infrastructure-as-code practices • Build and maintain CI/CD pipelines that enable engineering teams to ship code reliably and frequently with minimal manual intervention • Monitor system health, troubleshoot outages, and drive incident response with a focus on reducing mean time to recovery • Manage containerized workloads and orchestration platforms, ensuring services scale smoothly under varying traffic loads • Identify cost optimization opportunities and implement resource governance to keep cloud spend aligned with business priorities Qualification Required • Recent graduate or early-career professional (0–2 years of experience) with a degree in Computer Science, Information Technology, or a related technical field • Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including core compute, storage, and networking services • Comfort with Linux environments, shell scripting, and the command-line workflows that underpin modern infrastructure management • A reliability-oriented mindset with strong troubleshooting instincts and the patience to chase down root causes in distributed systems Preferred • Previous internship or project experience managing production infrastructure, writing Terraform/Pulumi modules, or operating Kubernetes clusters • Familiarity with observability stacks such as Prometheus, Grafana, Datadog, or ELK for monitoring, alerting, and log analysis • Exposure to networking concepts like DNS, load balancing, VPCs, and service mesh in a cloud-native context • Genuine curiosity about how infrastructure decisions impact developer velocity and end-user experience

What you’ll do

Provision and manage cloud infrastructure using infrastructure-as-code and maintain CI/CD pipelines for reliable code deployment. Monitor system health, manage containerized workloads, and implement cost optimization strategies.

Requirements

Requires a degree in Computer Science or a related field with 0-2 years of experience and hands-on knowledge of a major cloud platform. Candidates should be proficient in Linux environments and possess strong troubleshooting skills for distributed systems.

Listed skills

  • KubernetesPreferred
  • LinuxPreferred
  • Amazon Web ServicesPreferred
  • Google CloudPreferred
  • Microsoft AzurePreferred
  • TerraformPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Cloud Infrastructure
  • CI/CD Pipelines
  • Infrastructure as Code
  • Containerization
  • Kubernetes
  • Linux
  • Shell Scripting
  • AWS
  • GCP
  • Azure
  • Terraform
  • Pulumi
  • Prometheus
  • Grafana
  • Datadog
  • ELK Stack

Job areas

  • Technology
  • Software
  • Engineering

Additional details

Minimum education
Bachelor’s degree
Minimum experience
0+ years
Posting language
English
Working hours
40 hours per week
Seniority
Entry level