Student, Cloud Infrastructure Analyst; Winter

At Sun Life,we’redriven by our

Purpose:

helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.

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.

Are you curious about how enterprise‑scale AI and analytics platforms are built, operated, and continuously improved? This co‑op opportunity is designed for students who want hands‑on experience working with experienced engineers to learn, assist, and contribute to the enablement of AI and cloud infrastructure used across the organization.

In this role, you will support AI Ops and cloud platform initiatives, help implement infrastructure and automation patterns, and contribute ideas that improve reliability, security, and developer experience. Initiative, curiosity, and strong problem‑solving skills are highly valued.

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.

• Assist with enabling and supporting cloud based AI services and solutions (e.g., AWS based platforms and tooling)
• Support infrastructure provisioning using Infrastructure as Code (Cloud Formation 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 environments
• Observe and assist with operational support activities (monitoring, incident follow‑ups, KTLO tasks)
• Identify opportunities for process improvements and suggest practical, innovative solutions
• Collaborate with Cloud, Security, Architecture, Data Science, and Analytics teams to deliver platform capabilities
• Learn and apply automation-first and Dev Ops practices to improve reliability and operational efficiency
• Assist with supporting enterprise AI and analytics platforms such as AWS Sage Maker, Snowflake, and related technologies

• Strong communication and collaboration skills
• Insatiable curiosity and eagerness to learn and apply new technologies
• Strong analytical and problem-solving abilities; comfortable breaking down problems and asking questions
• Ability to take initiative and follow through on assigned tasks
• Ability to work both independently and as part of a team

• Exposure to cloud platforms (AWS preferred)
• Basic understanding of services such as IAM, S3, or managed AI services
• Familiarity with Infrastructure as Code concepts (specifically Cloud Formation)
• Programming or scripting experience, particularly with automation (Python, Bash, Power Shell)
• Basic understanding of CI/CD, Git, or Dev Ops concepts
• Interest in AI, machine learning, analytics platforms, or platform engineering

• Hands‑on experience with real enterprise AI and cloud platforms
• Mentorship from experienced cloud, AI, and platform engineers
• Exposure to modern Dev Ops, automation, and AI Ops practices
• Opportunities to contribute meaningful work that supports teams across the…