Senior Software Engineer, Backend (ML Training and Serving)

Own and deliver quarterly team goals, guiding engineers through ambiguous and complex technical challenges while supporting successful execution.

Define technical approaches and lead the development of significant features and system components, ensuring solutions are scalable, maintainable, and extensible.

Collaborate with product management, design, and analytics teams throughout the product development lifecycle, contributing to ideation and evaluating technical constraints, risks, and trade-offs.

Identify and proactively address technical, operational, process, and business challenges, taking ownership of solutions and driving improvements.

Support the reliability and availability of critical platform services by establishing and monitoring operational metrics, escalating issues, and participating in on-call and maintenance activities.

Strengthen engineering quality by establishing and improving code review practices, design standards, and development guidelines.

Promote technical excellence beyond the immediate team through documentation, technical presentations, and knowledge sharing.

Mentor and support other engineers through constructive feedback, technical guidance, and strong examples of ownership and execution.

Contribute to a collaborative engineering culture focused on continuous improvement, accountability, and reliable shared platforms.

At least 4 years of experience designing, developing, and launching backend systems at scale.

Strong programming experience with languages such as Python or Kotlin.

Proven experience developing and operating highly available distributed systems using technologies such as AWS, MySQL, and Kubernetes.

Ability to define technical plans for significant features or system components, translating complex requirements into elegant, simple, and extensible solutions.

Strong software engineering practices, with a focus on producing high-quality, readable, maintainable, and reusable code.

Experience making substantial changes within large codebases, supported by tools and practices that help ensure safe and reliable development.

Strong technical judgment and the ability to assess architectural decisions, identify risks, and balance competing priorities.

A demonstrated sense of ownership and commitment to professional growth, including proactively seeking feedback from teammates, managers, and stakeholders.

Excellent written and verbal communication skills, with the ability to collaborate effectively across a globally distributed engineering organization.

Experience training machine learning models and deploying them into production environments.

Compensation: Annual base salary ranging from CAD 153,000 to CAD 213,000, depending on location, experience, and job-related skills. New employees typically start at the beginning of the pay range.

Equity: Eligibility for equity rewards as part of the overall compensation package.

Health coverage: 100% subsidized medical, dental, and vision insurance premiums for employees and their dependents.

Monthly spending stipends: Financial support for technology expenses, health, and wellness needs.

Flexible time off: Flexible paid time off and generous holiday calendars to support rest and work-life balance.

Employee stock purchase plan: Opportunity to purchase company stock at a discounted price.

Remote-first flexibility: Fully remote work within eligible Canadian provinces, with occasional in-person activities where required.

In-person onboarding: New hires are invited to participate in an in-person onboarding experience.

Inclusive recruitment: Accommodations are available throughout the interview process for candidates with disabilities.