QA Test Engineer, Industrial

Description

The company is a growth-stage software business that helps manufacturers access, structure and use real-time data from machines, systems and sensors at the edge.

Its platform combines edge computing, AI and industrial operations so large customers can run plants in real time, cut downtime and improve production.

You will join the Industrial and Data team, where developers currently test their own code, so the connectors that talk to PLCs and industrial control systems have no independent tests. You will build that coverage.

The role is for a Senior QA Test Engineer (SDET). You write code, not test documents, and you will work with the industrial developers and with the engineering team in the US and Canada.

Responsibilities

• Build and maintain automated tests for the southbound connectors that use OPC-UA, Modbus, EtherNet/IP, PROFINET and DNP3.
• Write end to end tests that call the edge software's REST API and run them in GitLab on every internal build.
• Create protocol and device simulators so tests can run without waiting for physical devices that accept only one connection at a time.
• Divide coverage into development and regression tests, and run the regression suite on LTS builds and on an agreed schedule.
• Test upgrades, backward compatibility, behaviour under load and long soak runs.
• Investigate failures from pipeline logs, record them with clear timestamps, and separate product bugs from infrastructure noise.
• Track test cases and results in Jira and Xray so coverage can be reported per component.
• Review acceptance criteria on tickets when development begins.

Requirements

• 5+ years in software test automation, including at least 3 years writing test code in Go, Python or a similar language. Manual testing or record and playback work does not count.
• Hands-on experience automating REST API tests, including creating and changing system state through API calls.
• Working knowledge of at least two industrial or IIoT protocols, such as OPC-UA, Modbus, EtherNet/IP, PROFINET, DNP3 or MQTT.
• Comfortable with Linux, Docker and CI pipelines, and able to read pipeline logs to find why a run failed. GitLab preferred.
• Experience building device or protocol simulators, or hardware-in-the-loop test setups.
• C++ or Golang development experience, since much of the team's code is in those languages.
• Experience with Playwright or similar modern UI automation. The company is standardising on Playwright.
• Experience using Jira and Xray for test cases and test runs.
• A working understanding of PLCs, including the difference between memory tags and symbolic tags.
• Experience with performance, load or soak testing.
• Hybrid in Santa Clara or Toronto, or remote in the US or Canada.

Conditions

Hybrid in Santa Clara or Toronto, or remote in the US or Canada.

Equal opportunity employer.

Benefits

• You will build the infrastructure that lets real-time data feed AI and machine learning systems in production plants.
• Your work will reach real customers in production, and you will have ownership, visibility and a say in how the product and company grow.
• The team is collaborative and low ego, and people take ownership and support each other.
• The company is growing quickly, so priorities shift and not everything is fully defined yet.