Cloud Analyst supporting Sun Life’s Cloud Centre of Excellence and secure cloud infrastructure. Automating, modernizing, and operating AWS, Azure, GCP, and container platforms.
Responsibilities
Contribute to a global Cloud Centre of Excellence delivering cloud solutions
Support design, implementation, and operation of cloud infrastructure and platform services
Collaborate with CCoE squads and stakeholders to execute projects with business and strategic alignment
Support internal consumers adopting cloud services and self-service platform capabilities
Develop automation scripts and tools for deployment, monitoring, and maintenance
Work within an Agile team on platform enhancements and strategic initiatives
Assist with modernizing legacy workloads and operational processes using cloud and container services
Support proof-of-concept initiatives, technical evaluations, and implementations
Troubleshoot issues, resolve incidents, and contribute to operational stability with support and engineering teams
Apply security, privacy, compliance, audit, and risk best practices
Participate in security engineering and compliance-by-design activities
Create and maintain cloud service documentation, procedures, and troubleshooting guides
Provide 24x7 support, including off-hours on-call availability for client-impacting changes or troubleshooting
Requirements
University level degree in Computer Science, Mathematics, Science, or a related technology field
Relevant work experience in server administration and/or cloud solution administration in an enterprise environment
Knowledge of DevOps environments and automation
Foundational technical and business understanding of AWS, Azure, or GCP
Experience or academic exposure to software engineering, scripting, SDLC practices, or infrastructure as code
Exposure to systems provisioning and configuration management using Terraform, Ansible, Jenkins, Kubernetes, Backstage, or other cloud-native technologies
Excellent verbal and written communication skills
Teamwork experience, preferably with Scrum or KANBAN exposure
AWS, Azure, GCP, or Linux Foundation certification is a plus
Exposure to AWS EC2, S3, Lambda, VPC, IAM, and EKS is an asset
Understanding of container platforms and orchestration, with Amazon EKS and Kubernetes preferred
Awareness of self-service platform concepts, developer enablement, and standardized cloud consumption models
Knowledge of Python, React/TypeScript, NodeJS, or Bash
Experience or exposure to AI tools such as GitHub Copilot and AWS Bedrock with Anthropic models
Must satisfactorily complete applicable background checks before the start date and during employment
Benefits
Wellness programs supporting mental, physical, and financial health
Variety of career paths and networking opportunities
Hybrid work flexibility between office and home/virtual work
Incentive plans for eligible employees, subject to individual and company performance
Accommodation support during the application process
Mental health workplace support and positive work culture
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