Senior Cloud Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Cloud Engineer in Canada.

This is an exciting opportunity for a cloud engineering professional to help design and scale enterprise-grade cloud infrastructure in a highly innovative and fast-evolving environment. In this role, you will contribute to the development of secure, resilient, and scalable cloud platforms that support large-scale digital transformation initiatives. You will collaborate closely with engineering, DevOps, and infrastructure teams to implement modern cloud-native solutions using AWS and automation technologies. The position offers exposure to cutting-edge technologies including Kubernetes, serverless services, AI-driven development practices, and cloud security frameworks. Ideal for someone who enjoys solving complex technical challenges, this role combines strategic architecture work with hands-on engineering responsibilities. You’ll thrive in a collaborative and agile culture focused on innovation, continuous improvement, and impactful technology solutions.

Accountabilities:

• Design, implement, and enhance scalable cloud platforms and shared services using AWS cloud technologies.
• Develop secure cloud architectures and infrastructure patterns aligned with enterprise security and compliance standards.
• Build and maintain automated provisioning, deployment, monitoring, and configuration management solutions using Infrastructure as Code tools such as Terraform, CloudFormation, or CDK.
• Support cloud migration and modernization initiatives by collaborating with cross-functional stakeholders across engineering and business teams.
• Manage and optimize containerized workloads using Kubernetes, EKS, ECS, and serverless services including AWS Lambda and API Gateway.
• Contribute to DevOps practices, CI/CD pipelines, cloud governance, disaster recovery planning, and operational excellence initiatives.
• Maintain technical documentation, architectural templates, and service catalogues to support scalable cloud operations.
• Research emerging cloud technologies, AI-enabled engineering practices, and automation capabilities to continuously improve platform performance and developer experience.

Requirements:

• Proven experience in cloud engineering, cloud architecture, or DevOps engineering roles within enterprise-scale environments.
• Strong hands-on expertise with AWS cloud services, including compute, networking, storage, serverless, messaging, and container orchestration technologies.
• Solid understanding of cloud-native architecture principles, security models, scalability, and high-availability solutions.
• Proficiency in scripting and automation using Python, Bash, or PowerShell.
• Experience with Infrastructure as Code and cloud automation tools such as Terraform, CloudFormation, CDK, AWS CLI, or Azure CLI.
• Strong knowledge of container technologies and orchestration platforms including Kubernetes, EKS, ECS, and Docker.
• Familiarity with DevOps and Agile methodologies, along with tools such as Git, Jira, Confluence, Bitbucket, and Ansible.
• Understanding of AI-related technologies, GenAI concepts, prompt engineering, or AI-assisted development workflows is considered an asset.
• Excellent analytical, troubleshooting, communication, and collaboration skills with the ability to work effectively in fast-paced environments.

Benefits:

• Competitive salary package ranging from $75,900 to $141,900 CAD, based on experience and qualifications.
• Performance-based incentives, discretionary bonuses, and additional financial rewards.
• Comprehensive health, dental, life, and accident insurance coverage.
• Retirement savings plans and long-term financial wellness programs.
• Tuition reimbursement and professional development opportunities.
• Flexible remote and hybrid work arrangements.
• Access to training, mentorship, and career growth initiatives within a large-scale enterprise technology environment.
• Inclusive and collaborative workplace culture focused on innovation, diversity, and employee well-being.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1