Senior Software Engineer, Backend (ML Training and Serving)

Jobgether; Canada; Remote; CAD 153,000 - 213,000; Full time

Benefits offered by this job

Equity

Health coverage

Monthly stipends

Flexible time off

Employee stock plan

Remote-friendly

In-person onboarding

Disability accommodations

Job summary

Jobgether is seeking a Senior Backend Software Engineer (ML Training and Serving) based in Canada to build scalable ML infrastructure and services.

You will own significant initiatives, mentor engineers, collaborate with product and analytics, and ensure reliability while improving velocity. This role emphasizes distributed systems, platform engineering, and ownership, with remote-first flexibility within Canada.

Qualifications

• 4+ years designing, developing, and launching backend systems at scale.

Responsibilities

• Lead quarterly team goals and guide engineers through complex challenges.
• Define technical approaches and lead major features and system components.
• Collaborate with product management, design, and analytics teams through the product lifecycle.
• Identify and address technical, operational, and business challenges, driving improvements.
• Support the reliability and availability of critical platform services and participate in on-call activities.
• Strengthen engineering quality through code reviews, standards, and guidelines.
• Promote technical excellence via documentation and knowledge sharing.

Skills

Python

Kotlin

Distributed systems

Backend development

Code quality

Tools

AWS

MySQL

Kubernetes

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Backend (ML Training and Serving) based in Canada.

Join a Machine Learning engineering team building the critical infrastructure that enables advanced models to be trained, deployed, and served reliably at scale. As a Senior Backend Software Engineer, you will work at the intersection of distributed systems, machine learning infrastructure, and platform engineering. You will help shape shared systems that support essential business capabilities, including risk assessment, fraud prevention, customer servicing, and personalization. Taking ownership of significant technical initiatives, you will guide engineers through complex challenges while improving platform reliability and development velocity. This role offers the opportunity to influence engineering standards, collaborate across disciplines, and deliver infrastructure that enables teams to innovate with confidence.

Accountabilities:

You will lead the delivery of important engineering initiatives, combining technical ownership with collaboration, mentorship, and operational responsibility. Working closely with product, design, analytics, and engineering stakeholders, you will help build reliable machine learning infrastructure while ensuring that technical decisions support broader business objectives. Your responsibilities will include:

• 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.

Requirements:

You are an experienced backend engineer with a strong background in building highly available distributed systems and delivering production-grade software. You combine technical depth with sound architectural judgment, effective communication, and the ability to lead initiatives through uncertainty. The ideal candidate will bring:

• 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.

Additional experience that would be considered an asset:

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

Benefits:

• 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.