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Cloud Engineer - Early Career (Canada)

  • Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Experience
Recent graduate or early-career professional (0–2 years of experience) with a degree in Computer Science, Information Technology, or a related technical field
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

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
More about this job

Responsibilities

The Cloud Engineer will provision and manage cloud infrastructure using infrastructure-as-code and maintain CI/CD pipelines for reliable code deployment. They will also monitor system health, troubleshoot outages, and manage containerized workloads to ensure scalability and cost efficiency.

Requirements

Candidates should be recent graduates or early-career professionals with a degree in Computer Science, Information Technology, or a related field. Hands-on experience with a major cloud platform and proficiency in Linux environments and command-line workflows are required.

Skills

  • Cloud Infrastructure
  • CI/CD Pipelines
  • Infrastructure-as-code
  • AWS
  • GCP
  • Azure
  • Linux
  • Shell Scripting
  • Kubernetes
  • Terraform
  • Pulumi
  • Prometheus
  • Grafana
  • Datadog
  • ELK
  • Networking

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics

Keywords

  • Cloud Engineer
  • Infrastructure-as-code
  • CI/CD
  • AWS
  • GCP
  • Azure
  • Linux
  • Shell Scripting
  • Kubernetes
  • Terraform
  • Pulumi
  • Prometheus
  • Grafana
  • Datadog
  • ELK
  • DNS
  • Load Balancing
  • VPC
  • Service Mesh
  • Cloud-native
  • System Health
  • Incident Response
  • Cost Optimization
  • Computer Science
  • Information Technology
  • Software Development
  • AI Agents
  • Distributed Systems
  • Observability
  • Automation

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