Senior Platform Engineer - Global Ai Platform

Manulife

Toronto, Ontario, Canada
Base: $113,000.00 cad - $163,000.00 cad; bonus/equ...
Hybrid
Akka event-driven microservices
Ai foundry and adaptiveml platforms
Scala, java, and python programming
This role builds and maintains high-performance, fault-tolerant, secure, and scalable AI platform services that accelerate innovation while meeting compliance requirements

Job Summary

  • This role builds and maintains high-performance, fault-tolerant, secure, and scalable AI platform services that accelerate innovation while meeting compliance requirements.
  • Manulife offers a flexible and inclusive work environment that supports employee well-being and career growth as part of a global team.
  • Eligible employees receive customizable benefits including health, dental, mental health coverage, retirement savings plans, and generous paid time off.

Matching Summary

This role builds and maintains high-performance, fault-tolerant, secure, and scalable AI platform services that accelerate innovation while meeting compliance requirements.

Salary

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

Skills & Requirements

Must-have

  • Akka event-driven microservices
  • AI Foundry and AdaptiveML platforms
  • Scala, Java, and Python programming
  • MLOps practices and CI/CD pipelines
  • Cloud native technologies and orchestration
  • Distributed systems expertise
  • AWS/Azure cloud proficiency

Nice-to-have

  • Online and reinforcement learning experience
  • Responsible AI and model risk management
  • Performance optimization for GPU workloads
  • Experience in regulated industries
  • Strong communication and documentation skills

Key Requirements

  • 5+ years software engineering experience
  • 3+ years leading AI/ML or distributed systems projects
  • Experience with model lifecycle and orchestration platforms
  • Proficiency in containerization and Kubernetes
  • Knowledge of Terraform or Infrastructure as Code
  • Understanding of compliance and regulatory requirements

Work Rights

Not specified

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