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Cursor Developer Jobs in Toronto, ON (NOW HIRING)

Toronto | Hybrid About the Role We are looking for a developer-first Automation Engineer who ... Experience using AI-assisted development tools such as GitHub Copilot, Cursor, or Windsurf. Strong ...

We're particularly interested in engineers excited to learn and integrate AI-powered coding tools (e.g., Claude Code, Cursor) into their daily workflow to boost velocity and code quality. Prior ...

We value developers who stay efficient by leveraging AI agentic tools to speed up their workflow ... A proactive interest in leveraging AI Agents and LLM-based tools (e.g., GitHub Copilot, Cursor) to ...

As a Senior Software Developer, your role will be to help implement solutions & write beautiful ... Solid hands-on experience working with AI coding agents (e.g., Claude Code, Cursor, Copilot) beyond ...

How We Build We expect every developer on this team to use AI coding tools - GitHub Copilot, Claude, Cursor, whatever fits their flow - as a standard part of how they build software. As Team Leader ...

How We Build We expect every developer on this team to use AI coding tools - GitHub Copilot, Claude, Cursor, whatever fits their flow - as a standard part of how they build software. As Team Leader ...

Senior Full Stack Engineer

Toronto, ON · On-site +1

CA$132K - CA$181K/yr

Leverage AI coding agents such as Claude Code and Cursor as a core part of your daily workflow ... Be part of a vibrant developer community shaping the future of secure collaboration Compensation ...

Showing results 41-60

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Infographic showing various Cursor Developer job openings in Toronto, ON as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Full-time

Posted 6 days ago


Job description

Job Description Automation Engineer Location: Toronto | Hybrid About the Role We are looking for a developer-first Automation Engineer who combines software development, test automation, AI, and DevOps skills to improve the quality and delivery of complex enterprise applications. You will work hands-on with application workflows, build automated testing solutions, develop CI/CD pipelines, and use AI-powered tools to improve test generation, regression analysis, and engineering productivity. What You'll Do Learn and understand complex application workflows through hands-on testing and analysis.

Automate manual and regression testing using Python and modern automation frameworks. Analyse application outputs to identify defects, regressions, and unexpected behaviour. Build and maintain CI/CD pipelines, automated quality gates, and deployment workflows.

Develop internal automation tools, frameworks, and reusable testing utilities. Use AI coding assistants, LLMs, and agentic frameworks to accelerate automation and testing. Support containerised environments, infrastructure automation, and artifact management.

Collaborate with developers, testers, infrastructure teams, and business stakeholders. Continuously improve test coverage, reliability, and engineering processes. What You'll Need 2-4 years of experience in software development, test automation, or a similar engineering role.

Strong Python skills, preferably with pytest, pandas, and NumPy. Strong SQL and relational database experience. Hands-on experience with CI/CD tools such as GitHub Actions or Jenkins.

Experience using AI-assisted development tools such as GitHub Copilot, Cursor, or Windsurf. Strong Git and software development practices. Experience working with complex enterprise applications or business-critical systems.

Comfortable with hands-on testing, debugging, and detailed data analysis. Nice to Have Experience with LLMs or agentic AI frameworks such as LangChain, AutoGen, or CrewAI. C++, C#/.NET, or Java experience

Docker, Ansible, Linux/Unix scripting, or infrastructure-as-code experience. Experience with messaging, APIs, distributed systems, or enterprise integrations. Performance testing experience with tools such as k6, JMeter, or Locust.

Technology Environment: Python | C++ | C#/.NET | Java | SQL | pytest | GitHub Actions | Jenkins | Docker | Ansible | Git | Oracle/SQL Server | LLM/AI Tools Why Join. Build automation for complex, business-critical technology. Take ownership of AI, testing, and DevOps initiatives

Work with modern engineering and AI tools. Gain broad exposure to enterprise technology. Grow your technical skills in a collaborative engineering environment.

Competitive compensation, professional development, and comprehensive benefits.