Closed listing
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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Search current openingsOriginal 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