QA Test Engineer, Industrial

Accountabilities

• Build and maintain automated test coverage for industrial connectors communicating through protocols such as OPC-UA, Modbus, EtherNet/IP, PROFINET, and DNP3.
• Develop end-to-end tests that interact with the platform through REST APIs and integrate them into GitLab pipelines for execution on every internal build.
• Design and implement device and protocol simulators to enable reliable testing without depending on access to physical industrial equipment.
• Organize automated coverage into development and regression test suites, running regression tests on Long-Term Support (LTS) builds and according to an agreed schedule.
• Validate software upgrades, backward compatibility, system behavior under load, and long-duration stability through soak testing.
• Investigate test failures using pipeline logs, document findings with accurate timestamps, and distinguish product defects from infrastructure-related issues.
• Maintain test cases and execution results in Jira and Xray, ensuring test coverage can be tracked and reported by component.
• Review and clarify acceptance criteria at the beginning of development tasks to ensure requirements are testable and quality considerations are addressed early.
• Collaborate closely with industrial developers and engineering teams in Canada and the United States to improve testability and overall product reliability.

Requirements

• 5+ years of experience in software test automation, including at least 3 years writing automated test code using Go, Python, or a similar programming language.
• Strong programming and automation skills; this is a code-focused SDET role rather than a manual testing or record-and-playback position.
• Hands-on experience with REST API test automation, including using API calls to create, modify, and validate system state.
• Working knowledge of at least two industrial or Industrial Internet of Things (IIoT) protocols, such as OPC-UA, Modbus, EtherNet/IP, PROFINET, DNP3, or MQTT.
• Practical experience with Linux, Docker, and continuous integration pipelines, preferably GitLab CI, including the ability to analyze pipeline logs and troubleshoot failures.
• Strong analytical and problem-solving skills, with attention to detail and the ability to investigate complex system behavior.
• Ability to collaborate effectively with developers and distributed engineering teams.
• Nice to have: Experience developing device or protocol simulators, or working with hardware-in-the-loop testing environments.
• Nice to have: C++ or Go development experience, particularly in environments where these languages are used for core product development.
• Nice to have: Experience with Playwright or similar modern UI automation frameworks.
• Nice to have: Familiarity with Jira and Xray for test case management and test execution tracking.
• Nice to have: Understanding of PLC concepts, including the distinction between memory tags and symbolic tags.
• Nice to have: Experience with performance, load, or soak testing.

Benefits

• Full-time employment.
• Flexible work arrangement: hybrid work in Toronto or Santa Clara, or fully remote work within Canada or the United States.
• Opportunity to work on industrial software, real-time data systems, edge computing, and technologies supporting industrial AI.
• Direct ownership of test automation strategy and meaningful impact on product quality and engineering practices.
• Collaborative environment with experienced engineering professionals and opportunities to influence product development as the organization scales.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.