Azure Cloud Engineer managing secure Azure infrastructure, automation, and availability for Centric Software’s AI - enabled product - concept - to - commercialization platform. Supporting R&D, Sales, and Delivery teams.
About the role
- Senior Cloud Infrastructure Analyst enabling secure, scalable AI and analytics platforms at Sun Life, a global financial services company. Supporting AWS services, automation, and enterprise AI delivery.
Responsibilities
- Act as SME for enterprise AI services and solutions owned and operated by the team
- Support and integrate AI solutions across the enterprise using AI-focused cloud services
- Enable and maintain Amazon Bedrock capabilities, including Agents and Knowledge Bases
- Develop and support Amazon Bedrock Agent Core for existing and future use cases
- Enable and support Amazon Q Business solutions for enterprise AI use cases
- Develop and support Amazon Quick Suite, focusing on agentic workflows
- Support productionizing existing services and patterns
- Support the Pattern as a Product framework for reusable cloud solutions
- Apply DevOps and automation-first practices to improve reliability
- Lead Proofs of Concept, KTLO activities, and CI/CD improvements
- Provide training and support to optimize cloud infrastructure
- Provide ongoing support for teams leveraging platform AI solutions
- Collaborate with Cloud, Security, Architecture, Data Science, and Analytics partners
- Provide guidance and informal mentorship to team members
- Contribute to reference architectures, reusable patterns, and operational playbooks
Requirements
- Reliability Status Clearance required
- Must account for activities if lived or travelled outside Canada for 6 consecutive months during the last 5 years as part of the Government of Canada screening
- Strong communication and collaboration skills
- Ability to translate technical concepts for diverse audiences
- Proven analytical and problem-solving skills
- Experience assessing trade-offs, managing risk, and resolving complex issues
- Ability to work independently and contribute effectively within a team
- Alignment with BOLDER behaviours, including ownership, accountability, digital ways of working, continuous improvement, professional judgment, and an enterprise mindset
- Hands-on experience with AWS development tools, including IAM, S3, CloudFormation, Lambda, and Service Catalog
- Infrastructure as Code experience with CloudFormation and/or Terraform
- CI/CD experience, such as Jenkins
- Git-based and Bitbucket workflows
- PowerShell, Python, or other shell scripting for automation
- Experience supporting AI/ML or analytics platforms
- Experience in regulated or security-focused environments
Benefits
- Wellness programs supporting mental, physical, and financial health
- Opportunities to grow across multiple career paths with strong networking potential
- Hybrid work model with flexibility to work from the office and virtually
- Training and coaching to improve data literacy and apply insights
- Supportive, flexible, and inclusive work environment
- Incentive plans for eligible employees, with payment subject to individual and company performance
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