Top Tech Jobs & Startup Jobs in Toronto

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.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

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.

As a Business Development Representative at GitLab, you'll prospect targeted accounts, generate meetings, collaborate with teams, and engage buyers for the AI-powered DevSecOps platform.

Sell GitLab to Canadian public sector enterprise accounts: lead pre- and post-sales, develop pipeline with partners, drive adoption and account plans, gather customer feedback, and coordinate cross-functional teams to close and expand strategic opportunities.

Lead technical direction for a greenfield team building agentic/LLM-backed systems to reduce SDLC friction. Drive discovery through shipping, apply distributed-systems judgment at scale, mentor engineers, own technical hiring and cross-team alignment, and evaluate correctness and safety of agentic workflows.

Build reliable AI-powered, agentic backend systems to remove friction across the software development lifecycle. Design multi-step orchestration, safety checks, and evaluation tooling; apply distributed-systems judgment; work across GitLab codebases and with a distributed team to productionize solutions that may become customer-facing.

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.

Design and build tooling, workflows, and guidance to make GitLab easier to deploy, validate, and operate across cloud-native, self-managed, and ephemeral environments. Shape deployment architecture, topology, scaling principles, and platform contracts while collaborating with application, infrastructure, and delivery teams.