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Sun Life

Student, Cloud Infrastructure Analyst

Sun Life

. Assist with enabling and supporting cloud-based AI services and solutions, including AWS-based platforms and tooling .

Posted 9/19/2026full-timeToronto • CanadaEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in cloud-based AI services, particularly with AWS platforms, and applies Infrastructure as Code practices using CloudFormation and Terraform. Capable of supporting CI/CD pipelines and collaborating effectively with cross-functional teams to enhance operational workflows.

Highest-signal resume keywords
AWS Cloud PlatformsInfrastructure as CodeCI/CD PipelinesPython ProgrammingDevOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
CloudFormationTerraformPythonBashPowerShellCI/CDGitAI ServicesAnalytics PlatformsMachine Learning
Soft Skills
Communication SkillsCollaboration SkillsAnalytical AbilitiesProblem-Solving SkillsInitiative
Tools & Technologies
AWS SageMakerSnowflakeAgile MethodologiesOperational WorkflowsMonitoring Tools
Certifications & Qualifications
Reliability Security Clearance
Industry Keywords
Cloud ComputingAI ServicesAnalyticsPlatform EngineeringInfrastructure Management

Tech Stack

Tools & technologies
AWSCloudPythonTerraform

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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