Distributed Object Graph & Eventing Engineer in Toronto

Distributed Object Graph & Eventing Engineer in Toronto

Toronto Full-Time 120150 - 146850 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Build a high-performance graph for assets and events at lightning speed.
  • Company: Innovent, a cutting-edge tech company in Toronto.
  • Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic environment with exciting challenges and career advancement.
  • Why this job: Join a small team and make a big impact on national-scale operations.
  • Qualifications: Experience in engineering and a passion for scalable solutions.

The predicted salary is between 120150 - 146850 $ per year.

Innovent in Toronto is seeking an Engineer for Object Graph & Eventing to build the typed graph that holds assets, places, people, and signals at 500K events/sec.

The role is hybrid and full-time, with a focus on delivering scalable graph-based capabilities for national-scale operations.

You will join a small team focused on the object and event graph surface of the Innfini platform, delivering product outcomes for customers and ensuring latency-sensitive performance across complex pipelines.

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Distributed Object Graph & Eventing Engineer in Toronto employer: Innovent

Innfini is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Toronto. With a strong focus on employee growth, we offer opportunities to work on cutting-edge technologies while making a significant impact on national-scale operations. Our hybrid work model ensures flexibility, allowing you to thrive in diverse environments, from dynamic war rooms to industrial plants, all while being part of a dedicated team committed to excellence.

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Contact Details:

Innovent Recruitment Team

We think you need these skills to ace Distributed Object Graph & Eventing Engineer in Toronto

Graph Database Design
Event-Driven Architecture
Scalability
Performance Optimization
Data Modelling
Latency Management
Complex Systems Engineering