Top Engineering Jobs in Montréal, QC

Provides cross-team technical leadership for complex backend initiatives, modular architecture, monolith modernization, API and platform standards, production operations, and AI-assisted engineering adoption. Designs shared patterns for services, data, eventing, security, testing, observability, deployment, and reliability. Partners with Product and Engineering leadership, mentors engineers, participates in incident response, and drives technical strategy without formal authority.

Build, test, ship, and operate production backend features with minimal guidance. Design APIs, background jobs, integrations, data models, migrations, and bounded services while maintaining security, performance, observability, and reliability. Review code, improve automated testing, investigate production issues, address technical debt, participate in operational support, and collaborate asynchronously with product, frontend, infrastructure, and security teams. Use AI coding tools responsibly by validating and correcting generated output.

Leads technical direction and develops fullstack purchase experiences using Ruby on Rails and Vue.js. Designs resilient transactional flows, integrates billing and CRM systems, improves reliability and rollout safety, mentors engineers, reviews code, reduces technical debt, and participates in incident response. Partners with Product, Design, Billing, and Support to improve GitLab’s purchase, subscription, discount, and upgrade workflows.

Lead cross-functional Developer Experience initiatives across six teams, contributing hands-on backend code in Ruby and Go. Improve testing reliability, test coverage, CI/CD pipelines, logging standards, and development environments. Partner with engineering, platform, product, and infrastructure teams to identify friction, remove systemic bottlenecks, shape the Developer Experience Platform strategy, and foster continuous engineering improvement.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Build and operate GitLab’s Gitaly backend storage systems, focusing on distributed storage, Git repository management, reliability, scalability, performance, and observability. Own complex technical initiatives end to end, lead system design, collaborate across engineering and customer-facing teams, mentor engineers, improve development practices, respond to incidents, participate in on-call duties, and implement operational improvements for production systems.

Build and maintain secure, scalable Flow Registry features for GitLab’s agentic platform using Python, LangChain, and LangGraph. Design GraphQL and REST APIs, improve automated testing, optimize PostgreSQL-backed applications, and collaborate across backend, frontend, product, UX, and AI teams. Participate in Tier 2 on-call support, troubleshoot production issues, improve observability, and contribute to responsible AI integration in GitLab’s remote, asynchronous environment.

Design, build, and maintain People systems automations and integrations (Workato, Workday, Greenhouse, Slack) using production-quality code. Improve CI/CD, reliability, observability, and AI-driven automation (Claude, MCP). Serve as technical lead for People Technology, partner with stakeholders, and drive scalable, maintainable automation solutions.

Build tooling, workflows, and guidance to make GitLab easier to deploy, validate, and operate across cloud-native and self-managed environments. Evolve deployment guidance, improve production-like ephemeral environments, and maintain consistent deployment artifacts and environment contracts across development through production.

Design, implement, and evolve complex backend features and architecture. Improve reliability, performance, and security at scale. Mentor engineers, participate in incident response, set backend standards, and integrate agentic AI into production workflows.