Principal Engineer/ Chief Software Architect (Hybrid) at Big Viking Games
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

21 Sep, 25

Salary

0.0

Posted On

22 Jun, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

IMPORTANT

This a full-time, hybrid role for Ontario-based employees only. The successful candidate will be required to work from our Toronto office ( Queens Quay West) for a minimum of 3 days per week.

A LITTLE ABOUT US

Making fans - That’s what we’re all about! Since our humble beginnings in 2011, these two words have driven Big Viking Games to become the successful company it is today. We are focused on making our mark as a next-generation, live operations games company.
We believe that each Viking is unique and brings exponential value to the company. In return, we provide Vikings with the opportunity to solve problems through continuous learning and fostering feedback, ultimately mastering their craft. By investing in our Vikings and in new technologies, we can continue our success for years to come.

How To Apply:

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Responsibilities

ABOUT THE ROLE

We’re looking for an accomplished Principal Engineer / Chief Software Architect to drive the evolution of our core platforms and technology architecture. This Ontario-based leadership role reports to the CTO and will be pivotal in shaping the systems that power our products, with a strong emphasis on AI solution design, systems architecture, and scalable infrastructure.

WHAT YOU’LL DO

  • Architect and evolve scalable, distributed backend systems to support our growing product portfolio.
  • Lead the design and deployment of AI/ML-driven features across our tools and player experiences.
  • Develop technical strategies that align engineering initiatives with business goals.
  • Guide engineers on architecture, best practices, and design patterns.
  • Contribute hands-on to prototypes and mission-critical system components.
  • Drive the evolution of our DevOps, observability, and system reliability practices.
  • Act as a cross-functional bridge between data science, product, and engineering.
  • Identify and resolve bottlenecks in performance, scalability, and reliability.
  • Own and evolve frameworks for security, compliance, and privacy-by-design.
  • Foster a culture of technical excellence, mentorship, and continuous learning.
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