Senior Platform Reliability Engineer - Global Ai Platform

Manulife

Toronto, Ontario, Canada
Base: $113,000.00 cad - $163,000.00 cad; bonus/equ...
Hybrid
Devops and platform engineering
Ci/cd pipeline development and automation
Kubernetes and container management
As a Senior Platform Reliability Engineer, you will provide reliable and scalable platform experience to the Global AI Platform users and optimize software environments to support continuous integration and delivery

Job Summary

  • As a Senior Platform Reliability Engineer, you will provide reliable and scalable platform experience to the Global AI Platform users and optimize software environments to support continuous integration and delivery.
  • Manulife offers a flexible and inclusive environment that supports career growth, well-being, and diversity while empowering employees to shape the future they want to see.
  • Employees have access to a wide array of customizable benefits including health, dental, mental health, retirement savings plans, generous paid time off, and incentive compensation tied to performance.

Matching Summary

As a Senior Platform Reliability Engineer, you will provide reliable and scalable platform experience to the Global AI Platform users and optimize software environments to support continuous integration and delivery.

Salary

Base: $113,000.00 CAD - $163,000.00 CAD; Bonus/Equity: Incentive compensation tied to business and individual performance; Benefits: Health, dental, mental health, vision, disability, life insurance, retirement plans, paid time off

Skills & Requirements

Must-have

  • DevOps and platform engineering
  • CI/CD pipeline development and automation
  • Kubernetes and container management
  • Terraform and Ansible infrastructure as code
  • Cloud Foundry and Azure cloud platforms
  • Monitoring and observability tools
  • Security and compliance for AI/data systems

Nice-to-have

  • Collaborative and coaching attitude
  • Experience with open-source technologies
  • Strong organizational and problem-solving skills
  • Good verbal and written communication
  • Experimentation with emerging technologies
  • Focus on self-service and continuous delivery

Key Requirements

  • 5-8+ years in DevOps/Platform Engineering or Production Operations
  • Proficiency in Python, Java, Scala, or TypeScript
  • Bachelor’s degree in Computer Science/Engineering or equivalent experience
  • Strong understanding of LLM systems and AI platform fundamentals
  • Experience with large scale distributed systems and on-call support
  • Familiarity with security, governance, and compliance for AI/data systems
  • Ability to collaborate across global teams and translate business needs

Work Rights

Not specified

Tailored Resume

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