Student, Cloud Infrastructure Analyst (Fall 2026)

Socket.dev; Toronto; Hybrid; CAD 25,000 - 39,000; Part time

Job summary

Sun Life Financial in Canada is seeking a Student, Cloud Infrastructure Analyst to work on Data Mesh, ML, and analytics initiatives from Sept 21 to Dec 18. You will gain hands-on experience with AWS, Terraform, GitHub, Jenkins, and CI/CD in a hybrid setup.

You will join an Agile team, document processes with JIRA, and contribute to infrastructure automation while developing Windows and Linux scripts. Graduation December 2026 or later is required; this is a hybrid student program with

Qualifications

• Strong communication and collaboration skills are required.

Responsibilities

• Support Data Mesh migrations and client onboarding.
• Assist with reviewing, updating, and optimizing CI/CD pipelines.
• Develop and maintain automation scripts for development and deployment processes.
• Learn AWS features for data science and AI applications.
• Collaborate in an Agile team and document processes using JIRA.

Skills

Communication skills

Willingness to learn

Analytical skills

Team collaboration

Initiative

Independent work

Graduation 2026 or later

Education

Graduation Dec 2026 or later

Tools

Git

Linux basics

AWS basics

Python

Bash

PowerShell

Job description

Job Description:

Term dates: Sept 21-Dec 18

Are you passionate about working with cutting-edge Data Mesh, Machine Learning, and Analytics technologies? 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.

This role requires Reliability Security Clearance. In addition to a law
enforcement inquiry and a credit check, as part of your application,
the Government of Canada will ask if you lived or travelled outside
of Canada for 6-consecutive months during the last 5 years, and
you must account for all activities during this time.

What will you do?

• Support Data Mesh migrations and client onboarding while collaborating on data requirements
• Support the migration of repositories, pipelines, and workflows from Bitbucket to GitHub.
• Assistwith reviewing, updating, andoptimizingCI/CD pipelines.
• Develop andmaintainautomation scripts to improve development and deployment processes.
• Support Jenkins pipeline modernization and GitHub-integrated delivery workflows
• 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

What do you need to succeed?

• 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

Preferred Skills:

• 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

We value analytical thinking and continuous learning. Through training and coaching, you can improve your data literacy and apply insights in meaningful ways, regardless of experience level.

What’s in it for you?

• At Sun Life, you will be joining a purpose driven organization focused on helping Canadian’s achieve lifetime financial security and live healthier lives.
• As a student, you’ll make a real impact by contributing to meaningful work, gaining valuable experience and actively working towards your team’s goals.
• You’ll join our unique student culture, designed to help you grow both personally and professionally beyond your role.
• We offer professional development workshops, student awards, socials and many more exciting opportunities.
• We are honored to be recognized as Canada’s Best Employers for Recent Graduates and Canada's Best Workplaces by Great Place to Work in 2025.
• Your student journey is just the beginning and we're proud to help many who choose Sun Life to transition into permanent roles after graduation.

The Base Pay range is for the primary location for which the job is posted for. The Base Pay which you will be considered for will vary depending on the Campus program you are selected for.

Eligible Sun Life employees for various Campus Graduate programs will also participate in various incentive plans, payment under which is discretionary and subject to individual and company performance

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to [e-mail].

We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.

We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Job Category:

Temporary Employee

Posting End Date:

06/09/2026