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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

Provision and manage cloud infrastructure across development, staging, and production, and build CI/CD pipelines to support reliable, frequent software releases. Monitor system health, troubleshoot incidents, manage containerized workloads, and optimize cloud costs and resource governance.

Requirements

Applicants should be recent graduates or early-career professionals with 0–2 years of experience and a degree in computer science, information technology, or a related technical field. They need hands-on experience with a major cloud platform, Linux and shell scripting skills, and strong troubleshooting instincts; infrastructure-as-code, Kubernetes, observability, and cloud networking experience are preferred.

Skills

  • AWS
  • Google Cloud Platform
  • Microsoft Azure
  • Infrastructure As Code
  • CI/CD Pipelines
  • Linux
  • Shell Scripting
  • Troubleshooting
  • Containerization
  • Kubernetes
  • Monitoring And Observability
  • Incident Response
  • Cloud Cost Optimization
  • Networking
  • Terraform

Benefits

  • High Ownership And Impact
  • Production AI Agent Experience

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering

Keywords

  • Cloud Engineering
  • Cloud Infrastructure
  • AWS
  • Google Cloud Platform
  • Microsoft Azure
  • Infrastructure As Code
  • Terraform
  • Pulumi
  • CI/CD
  • Linux
  • Shell Scripting
  • Kubernetes
  • Containerized Workloads
  • Prometheus
  • Grafana
  • Datadog
  • ELK
  • Observability
  • Monitoring
  • Alerting
  • Log Analysis
  • Incident Response
  • Mean Time To Recovery
  • Cost Optimization
  • Resource Governance
  • DNS
  • Load Balancing
  • VPC
  • Service Mesh
  • Distributed Systems

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