Lead Platform Engineer for AI-Driven, Scalable Systems

Thomson Reuters

Toronto

Hybrid

CAD 141,000 - 191,000

Full time

8 days ago

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Benefits offered by this job

Hybrid work model
Flexible work policies

Job summary

Thomson Reuters is seeking a Lead Platform Engineer to drive the design and delivery of backend and platform services powering AI agent workflows. You will own cloud infrastructure, CI/CD, and progressive delivery in a microservices and Kubernetes-centric environment.

You will mentor engineers, influence technical direction, and collaborate with Product, Applied AI, and Infrastructure teams while maintaining reliability, performance, and cost efficiency across production systems running on AWS

Qualifications

  • 7+ years of professional software engineering experience designing, building, and operating large-scale backend systems, including leadership
  • Strong proficiency in Python or other backend languages with distributed systems experience
  • Experience with relational databases and caching/messaging technologies; API design; container orchestration

Responsibilities

  • Lead design, architecture, and delivery of backend and platform services powering AI agent workflows
  • Own and evolve cloud infrastructure, CI/CD, and progressive delivery using IaC
  • Drive cross-functional technical initiatives with Product, Applied AI, and Infrastructure teams
  • Improve platform reliability, observability, and cost efficiency across Kubernetes and AI runtimes
  • Mentor engineers and influence technical direction across the organization
  • Participate in on-call rotation for production systems

Skills

Python (FastAPI) / backend systems
Distributed systems / microservices
Cloud & CI/CD
Observability & troubleshooting
AI/LLM systems experience
Influence technical decisions

Tools

Kubernetes (EKS)
PostgreSQL
Redis
OpenTelemetry / Datadog / Prometheus
AWS Bedrock / cloud runtimes

Job description

Thomson Reuters is seeking a Lead Platform Engineer to drive the design and delivery of backend and platform services powering AI agent workflows. You will own cloud infrastructure, CI/CD, and progressive delivery in a microservices and Kubernetes-centric environment.

You will mentor engineers, influence technical direction, and collaborate with Product, Applied AI, and Infrastructure teams while maintaining reliability, performance, and cost efficiency across production systems running on AWS

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