Senior Backend Software Developer (ML Platform)

TL;DR

Senior Backend Software Developer (ML Platform) (Python/AWS): Build backend services and tooling that turn machine learning experimentation into production-ready confidence with an accent on cloud-native infrastructure, MLOps platform capabilities, and reliable CI/CD-driven model deployment. Focus on integrating ML tooling (SageMaker Studio, MLflow), enabling reproducible experimentation, and partnering with ML engineers to remove workflow friction.

Company

Quebec-based company building AI-powered search and recommendations.

What you will do

• Design, build, and evolve backend services and tooling across the machine learning development lifecycle.
• Develop cloud-native infrastructure and automation using Python, AWS, Terraform, and CI/CD practices.
• Partner with machine learning engineers and data scientists to understand workflows and deliver improvements.
• Integrate and maintain ML tooling such as SageMaker Studio and MLflow while improving developer experience.
• Make product-minded technical trade-offs to maximize value for internal users.
• Provide technical leadership and drive continuous improvement within the engineering culture.

Requirements

• Professional experience building backend applications in Python.
• Strong experience building cloud-native solutions using Amazon Web Services (AWS).
• Experience building or maintaining machine learning platforms, MLOps tooling, or infrastructure supporting ML workflows.
• Strong understanding of infrastructure as code with Terraform and modern CI/CD practices.
• Ability to work autonomously and communicate effectively with technical stakeholders.

Nice to have

• Experience integrating or supporting SageMaker Studio or similar ML tooling.
• Familiarity with Java or experience in polyglot engineering environments.
• Background as a machine learning engineer or data scientist with interest in developer tooling.

Culture & Benefits

• Work modes include in-person, hybrid, and remote; remote work may require travel for in-person team-building events.
• Hybrid pillar days: offices gather two times a week to strengthen in-person collaboration.
• Collaborative engineering culture with knowledge sharing and continuous learning.
• Benefits support comfortable work from home.

Hiring process

• Submit an application; hiring may use technology to help review candidates.
• HR contacts candidates after application review.

Location: Montreal, Province of Quebec, Canada