Student, Cloud Infrastructure Analyst (Fall 2026)

Sun Life•Waterloo, ON

1d•Hybrid

About The Position

Our student and new graduate programs offer a chance to explore Sun Life from the inside. You’ll make a difference in the lives of our customers and communities, while building the skills and experience that allow you to grow in a meaningful and rewarding way. We have an exciting opportunity for a Student, Cloud Infrastructure Analyst to join our dynamic team. The ideal candidate will have experience in Information Technology, with hands-on experience or high interest in Cloud technologies. As a condition of the role, the successful candidate must obtain a Government of Canada Reliability Status security clearance through Sun Life.

Requirements

Strong communication and collaboration skills
Eagerness to learn and apply new technologies
Strong analytical and problem-solving abilities, while making use of Knowledge Base, product application articles, and GenAI – prompt engineering
Willingness to take initiative and actively participate in team discussions
Curiosity and enthusiasm for continuous improvement
Ability to work both independently and as part of a team
Graduation date of December 2026 or later

Nice To Haves

Familiarity with Linux and basic AWS services (e.g., IAM, EC2, S3)
Basic programming knowledge in Python, Bash, or PowerShell
Interest in cloud computing, data science, or artificial intelligence
Understanding of version control systems like Git

Responsibilities

Support Data Mesh migrations and client onboarding while collaborating on data requirements
Configure and prepare data for ingestion into the Data Mesh
Learn data querying tools (Snowflake, Starburst Trino, Athena) and security processes (Macie)
Gain hands-on experience with cloud technologies like Amazon Web Services (AWS), Platform as a Service (PaaS), and Software as a Service (SaaS)
Assist in building and deploying infrastructure using Infrastructure as Code (IAC) tools like Terraform and CloudFormation
Learn about and support data science and AI tools such as Sagemaker, RStudio, and AWS Analytic Services (e.g., Textract, Bedrock, Kendra, Comprehend)
Participate in an Agile team environment, supporting analytic products and contributing to key projects
Document processes, manage work with JIRA, and help implement consistent standards and procedures
Learn DevOps methodologies and develop basic scripts for Windows and Linux platform
Collaborate with team members and stakeholders to enable AWS features for data science and AI applications
Contribute ideas for process improvements and innovative solutions