Top Engineering Jobs in Montréal, QC

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.

Lead and scale engineering teams responsible for GitLab platform reliability, scalability, and lifecycle across SaaS and self-managed environments. Drive operational excellence, incident management, cloud cost efficiency, observability, tenant controls, and upgrade tooling. Set strategy, partner cross-functionally, coach managers, and deliver platform architecture and tooling to support modular services and large-scale operations.

Lead and grow a distributed Growth engineering team to run experiments, improve signup/onboarding/activation, and deliver measurable gains in discovery, conversion, engagement, and monetization. Hire, coach, and enable engineers; drive technical design, planning, and execution; partner with Product, Design, and Data; prioritize experiments and scale winning changes; and promote AI-native experimentation and strong cross-functional collaboration.

Lead a 0-to-1 pilot team to find and fix high-leverage SDLC friction, instrument system-level metrics (MRPM, pipeline success rate, latency), recruit and mentor four engineers, design and implement durable fixes, and drive adoption across engineering teams while reporting metric-driven outcomes to leadership.

Maintain and improve reliability, scalability, and automation for user-facing production systems. Build infrastructure tooling, operate Kubernetes-based services, write IaC, participate in on-call and incident response, and advance observability and runbooks to reduce toil and improve platform reliability.

Manage a technical team focused on Git and Git-related infrastructure, balancing upstream open-source work with GitLab priorities. Drive long-horizon scalability, performance, and architectural projects while fostering technical rigor, ownership, mentoring, and strong asynchronous communication across distributed teams.

Design and build a unified analytics instrumentation platform using Go, Kubernetes, ClickHouse, and NATS. Improve data emission, transit, and quality for usage and billing, provide incident response and root cause analysis, collaborate with product and data teams to drive adoption, make tradeoffs for reliability and performance, and mentor engineers through reviews and documentation.

Lead engineering strategy and execution for GitLab's growth and monetization platforms including self-service purchase, billing, usage metering, entitlements, quote-to-cash, integrations (Zuora, Salesforce), and API-first scalable architectures. Align cross-functional partners, ensure reliability, compliance (SOX), and apply AI/ML for predictive pricing and usage forecasting to support usage- and impact-based pricing.

Ownership of backend features for Agentic Tools: design and implement GraphQL/REST APIs, build secure scalable Ruby on Rails services, improve RSpec automated tests, collaborate across product and AI teams, participate in Tier 2 on-call, and shape architecture for AI agent interactions with GitLab.

As a Backend Engineer, you'll improve Git and Gitaly by contributing features, bug fixes, and performance improvements, collaborating with the open source community, and participating in architectural discussions.