Intermediate Cloud Platform Engineer at Manulife designing and maintaining cloud infrastructure solutions. Driving efficiency, reliability, and innovation across enterprise applications and platform services in Waterloo.
About the role
- Cloud Infrastructure Analyst responsible for enterprise AI and analytics solutions. Collaborating with Cloud, Security, Architecture, Data Science, and Analytics teams.
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 a suite of AI-focused cloud services.
- Enable and maintain Amazon Bedrock Capabilities (Agents, Knowledge Bases, etc.).
- Develop and support Amazon Bedrock Agentcore for existing and future use cases.
- Enable and support Amazon Q Business solutions for enterprise AI use cases.
- Develop and support Amazon Quick Suite with focus on agentic workflows.
- Support productionizing existing services and patterns enabled by the team.
- Support Pattern as a Product framework for reusable cloud solutions.
- Apply DevOps and automation-first practices to improve reliability of services and solutions.
- Lead Proof of Concepts, KTLO (Keep The Lights On) activities, and CI/CD improvements while providing training and support to optimize cloud infrastructure.
- Collaborate closely with Cloud, Security, Architecture, Data Science, and Analytics partners.
- Provide guidance and informal mentorship to team members, as appropriate.
- Influence platform standards by contributing to reference architectures, reusable patterns, and operational playbooks.
Requirements
- 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 development tools (IAM, s3, CloudFormation, Lambda, Service Catalog).
- Infrastructure as Code (CloudFormation and/or Terraform).
- CI/CD (such as Jenkins) and Git based and Bitbucket based 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
- A hybrid work model, guided by business and Client needs
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