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 using infrastructure-as-code and build reliable CI/CD pipelines. 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.
Skills
- Cloud Infrastructure
- CI/CD Pipelines
- Infrastructure as Code
- Containerization
- Kubernetes
- Linux
- Shell Scripting
- AWS
- GCP
- Azure
- Terraform
- Pulumi
- Prometheus
- Grafana
- Datadog
- ELK Stack
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
Keywords
- Cloud Engineering
- AWS
- GCP
- Azure
- CI/CD
- Infrastructure as Code
- Terraform
- Pulumi
- Kubernetes
- Linux
- Shell Scripting
- Prometheus
- Grafana
- Datadog
- ELK
- DNS
- Load Balancing
- VPC
- Service Mesh
- Containerization
- Distributed Systems
- Cost Optimization
- Observability
- Software Development
- AI Agents