Automation Engineer

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.