Cloud Engineer - Early Career (Canada)

Cloud Engineer - Early Career (Canada)

09 Aug
|
Jobright.ai
|
Canada

09 Aug

Jobright.ai

Canada

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 solid 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

📌 Cloud Engineer - Early Career (Canada)
🏢 Jobright.ai
📍 Canada

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