Jr. Software QA Engineer

Nokia; Ottawa; On-site; CAD 70,000 - 100,000; Full time

Job summary

A leading telecommunications company in Ottawa is seeking a qualified individual to join their NSP Quality Intelligence team. The role involves developing innovative tools for testing, including machine learning-based solutions. Candidates should have a degree in Computer Science or similar, and strong programming skills in Python, Java, and JavaScript. Experience with machine learning and version control systems is a plus.

Responsibilities

• Participate in deep data mining and testing techniques.
• Program new capabilities into test automation infrastructure.
• Understand requirements to build functionality in automated framework.
• Prototype new ways to manipulate deployment scenarios.

Skills

Programming skills in Python

Programming skills in Java

Programming skills in JavaScript

Understanding of object-oriented design

Familiarity with Linux

Education

Master’s, Bachelor’s degree or Diploma in Computer Science, Software Engineering or related field

Job description

You will join the Network Services Platform (NSP) Quality Intelligence team, which has the mandate to innovate new ways to test the NSP product. As part of this team, you will develop collection and observability tools to help design machine learning neural networks that analyze the product behaviour and test coverage.

Qualifications

• Master’s, Bachelor’s degree or Diploma in Computer Science, Software Engineering or related field.

• Demonstrated programming skills in Python, Java, and JavaScript.

• Strong understanding of object-oriented software design concepts.

• Familiarity with Linux.

Nice to have

• Experience with machine learning/AI.

• Experience with Git or other version control systems.

Responsibilities

• Participate in deep data mining and cutting-edge techniques for test management.

• Program new capabilities into our test automation infrastructure such as test validation methods, connectivity to devices and debugging utilities.

• Understand the requirements and devise how to build the corresponding functionality in the automated framework.

• Prototype new ways to manipulate specific deployment scenarios with a focus on the robustness and efficiency of the system.