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Job Description
Job Title: Sr. Cloud Engineer
Location: Toronto, ON (3x onsite a week)
Employment Type: Contract
Pay Rate: CAD$60 - $70/HR INC
Job Description
We are seeking an experienced Senior Cloud Engineer with strong expertise in Azure and Google Cloud Platform (GCP), along with hands-on development experience in modern web technologies and microservices. The role involves designing, building, and optimizing cloud-native applications, leading modernization initiatives, and ensuring secure, scalable deployments using containers and CI/CD practices.
Key Responsibilities
Cloud Engineering (Azure & GCP)
- Design, deploy, and manage cloud-native applications on Azure and GCP.
- Implement best practices for scalability, security, monitoring, and cost optimization.
- Support cloud migration and modernization initiatives.
Application Development & Modernization
- Develop applications using React, Angular, Node.js, Java, Spring Boot.
- Build and maintain REST APIs and microservices.
- Modernize legacy applications (WebSphere, Liberty, DB2).
- Optimize performance and scalability.
Microservices & API Engineering
- Architect microservices-based systems.
- Design secure REST APIs with proper documentation (Swagger/OpenAPI).
Containerization & Kubernetes
- Containerize applications using Docker.
- Deploy and manage workloads on Kubernetes (AKS, GKE).
- Implement CI/CD pipelines for automated deployments.
Integration & Middleware
- Integrate cloud services with legacy systems and databases.
- Work with distributed system and integration patterns.
Development Tools & Governance
- Use Git/SVN for version control.
- Manage builds with Gradle.
- Follow secure coding and governance best practices.
Skills & Qualifications
Must-Have Skills
- Azure and/or GCP cloud expertise.
- React, Angular, Node.js development.
- Java, Spring Boot, REST APIs.
- Microservices architecture.
- Docker and Kubernetes.
- WebSphere, Liberty, DB2 experience.
- Git, Gradle, Swagger/OpenAPI.
Nice-to-Have
- CI/CD tools (Azure DevOps, Jenkins, GitHub Actions).
- Kafka or MQ.
- DevSecOps and cloud security practices.
Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
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