About the role

Senior Cloud Infrastructure Analyst responsible for enabling enterprise-scale analytics and ML platforms at Sun Life, fostering a positive work culture and employee well-being.

Responsibilities

Act as SME for enterprise analytics and ML platforms
Design, deploy, and support Data Science Workbench technologies such as AWS SageMaker AI, AWS SageMaker Unified Studio, R Studio, Dataiku, and Snowflake Cortex
Build and maintain cloud infrastructure using IaC (Terraform, CloudFormation)
Monitor, troubleshoot, and respond to incidents with root cause analysis
Identify gaps and recommend solutions aligned to enterprise standards
Execute platform upgrades and migrations with minimal disruption
Partner with Security on vulnerability management and compliance
Work in Agile, managing priorities via JIRA
Apply DevOps and automation-first practices to improve reliability
Support GenAI teams and leverage AI tools responsibly

Strong communication and collaboration skills, with the ability to translate technical concepts for diverse audiences.
Proven analytical and problem‑solving skills, with experience assessing trade‑offs, managing risk, and resolving complex issues.
Ability to work independently while contributing effectively within a team environment.
Hands‑on experience with AWS core services (e.g., IAM, EC2, S3, networking) in production environments.
Experience supporting analytics or ML platforms such as SageMaker, Dataiku, Snowflake, or RStudio.
Proficiency in Python, Bash, or PowerShell for automation and operational efficiency.
Experience working in environments with strong security, privacy, and governance requirements.

Wellness programs that support the three pillars of your health – mental, physical, and financial
The opportunity to move along a variety of career paths with amazing networking potential.
Hybrid work model, guided by business and Client needs
Employee well-being, fostering a positive work culture