Staff Software Engineer – AI & Platform

Work on complex technical challenges related to scale, performance, reliability and distributed systems .

Improve platform capabilities and internal tooling used by engineering teams.

Develop reusable libraries, frameworks and infrastructure that improve developer experience and software quality.

Investigate systemic or high-impact technical issues and drive them through resolution.

Help teams make pragmatic architectural decisions that balance scalability, security, product requirements and delivery speed.

Partner with engineers across teams through technical reviews, architecture discussions, pairing and coaching.

Introduce patterns and practices that improve maintainability, reliability and development velocity.

Act as a senior technical partner to engineering leadership.

Take ownership of ambiguous, cross-functional technical initiatives from problem definition through implementation.

10+ years of professional software engineering experience , including significant experience designing and building scalable systems.

Approximately 6+ years working with distributed systems, platform architecture or similarly complex technical environments .

Previous experience operating at Staff Engineer, Principal Engineer, Technical Lead or an equivalent level of technical influence.

Demonstrated experience designing technical roadmaps and making architectural decisions across multiple systems or engineering teams.

Strong hands-on engineering skills — this is not an architecture-only or management position.

Experience working with high-traffic or high-scale digital platforms where reliability, performance and availability are critical.

Practical experience introducing or scaling the use of AI within engineering teams .

This could include experience with:

AI-assisted software development and developer tooling.

Internal AI tools, integrations, plugins or engineering utilities.

AI-enabled development, testing or operational workflows.

Agentic architectures and multi-step AI workflows.

Autonomous or semi-autonomous agents.

Developer productivity and AI adoption programs.

You should also have:

Experience influencing engineers across multiple teams without relying on direct management authority.

Strong understanding of the trade-offs between engineering, product, security and compliance .

Experience with platform engineering, developer experience (DX), internal tooling or shared engineering infrastructure.

Experience creating reusable libraries, frameworks or tools that improve engineering productivity and software quality.

Strong communication skills and the ability to bring structure to technically ambiguous problems.

Experience with technologies similar to the following is highly relevant:

JavaScript / TypeScript

React

Next.js

Node.js

AWS

Distributed and cloud-native architectures

Modern AI development tools and frameworks

You do not need to have worked with every technology listed, but you should be comfortable operating within a modern JavaScript/TypeScript and cloud-based environment.

This is a full-time permanent position in Canada.

Additional information about the company, benefits, product, engineering organization and engagement will be provided during the interview process.