Student Cloud Infrastructure Analyst at Sun Life, helping operate enterprise AI and AWS cloud platforms. Supporting Infrastructure as Code, CI/CD, automation, and DevOps initiatives.
Responsibilities
Assist with enabling and supporting cloud-based AI services and solutions, including AWS-based platforms and tooling
Support infrastructure provisioning using Infrastructure as Code with CloudFormation and/or Terraform
Help implement and improve automation, CI/CD pipelines, and operational workflows
Assist with onboarding and supporting teams using shared AI and analytics platforms
Contribute to documentation, runbooks, and knowledge base articles
Participate in Agile ceremonies and collaborate with engineers, architects, and platform partners
Learn how enterprise AI and analytics platforms are designed, deployed, and supported in production
Observe and assist with monitoring, incident follow-ups, and KTLO operational support tasks
Identify process improvement opportunities and suggest practical, innovative solutions
Collaborate with Cloud, Security, Architecture, Data Science, and Analytics teams to deliver platform capabilities
Apply automation-first and DevOps practices to improve reliability and operational efficiency
Assist with supporting enterprise AI and analytics platforms such as AWS SageMaker and Snowflake
Requirements
Student eligible for a Winter 2027 co-op opportunity
Strong communication and collaboration skills
Curiosity and eagerness to learn and apply new technologies
Strong analytical and problem-solving abilities
Ability to take initiative and follow through on assigned tasks
Ability to work independently and as part of a team
Exposure to cloud platforms, preferably AWS
Basic understanding of IAM, S3, or managed AI services
Familiarity with Infrastructure as Code concepts, specifically CloudFormation
Programming or scripting experience, particularly Python, Bash, or PowerShell
Basic understanding of CI/CD, Git, or DevOps concepts
Interest in AI, machine learning, analytics platforms, or platform engineering
Reliability Security Clearance required
Must account for activities during any period of living or travelling outside Canada for six consecutive months during the last five years as part of the Government of Canada security process
Must complete a law enforcement inquiry and credit check
Benefits
Hybrid work environment with flexibility to work from the office and virtually based on business, Client, and employee needs
Mentorship from experienced cloud, AI, and platform engineers
Access to learning resources, training, and career development pathways
Professional development workshops
Student awards
Student socials
Opportunities to contribute meaningful work supporting teams across the organization
Incentive plans with discretionary payments subject to individual and company performance
Potential transition into permanent roles after graduation
Accommodation available for persons with disabilities
Unique student culture supporting personal and professional growth
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