Engineering Manager, Software Quality

As an Engineering Manager, Software Quality at Canopy, your primary responsibilities include leading and mentoring a team of software quality engineers, defining the software quality vision and strategy, implementing test automation frameworks, and establishing key quality metrics. You will also collaborate with various teams to integrate quality into the software development lifecycle and oversee defect triage and root cause analysis to enhance overall system stability.

To qualify for the Engineering Manager, Software Quality role at Canopy, candidates should possess a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, alongside 5+ years of experience in software quality engineering or test automation. Strong knowledge of software testing methodologies, CI/CD practices, and hands-on experience with automation tools like Selenium or Cypress are key requirements.

At Canopy, we adopt a comprehensive approach to software quality and testing. Our Engineering Manager, Software Quality is responsible for driving the quality strategy, which includes implementing automated testing frameworks and continuously improving testing processes. By establishing metrics for defect rates and release stability, we ensure that all products meet our high standards for reliability, performance, and security.

The Engineering Manager, Software Quality at Canopy will work with a variety of tools and technologies including test automation frameworks like Selenium, Cypress, and JUnit, as well as performance testing tools like JMeter and defect tracking systems such as Jira. Knowledge of programming languages like Python, Java, or JavaScript for developing test automation is highly beneficial.

Canopy is dedicated to fostering the growth of its employees, particularly for Engineering Managers in Software Quality. The organization encourages involvement in professional development programs, mentorship opportunities, and continuing education in the latest industry trends and methodologies, ensuring that our leaders are well-equipped to drive quality improvements within their teams.

Answering this question effectively requires you to highlight specific tools you've used, such as Selenium or Cypress, and give examples of how you've implemented these tools in previous projects to improve testing efficiency. Be clear about the results you achieved through automation.

To answer this, share your approach to integrating quality into SDLC processes. Discuss the importance of establishing quality standards and metrics, and how you communicate these to cross-functional teams to ensure everyone is aligned on quality goals.

Discuss your personal approach to mentorship, including setting clear expectations, offering constructive feedback, and providing opportunities for growth through training or challenging projects. Highlight how your leadership style promotes a culture of continuous improvement.

Provide a specific example where you led a defect triage, discussing the methods you used to identify root causes and how you collaborated with stakeholders to resolve the issues. Emphasize the positive impact this had on overall product quality.

Share your routine for staying updated, whether through attending conferences, reading industry publications, or participating in online forums. Mention any recent trends you've adopted in your work to enhance software quality in your previous roles.

Outline a systematic approach to introducing the framework, including assessing current processes, developing a transition plan, and training your team. Explain how you would measure the success of the new framework post-implementation.

Discuss your hands-on experience with testing applications in cloud environments and any specific challenges you've encountered. Highlight how you addressed those challenges and the tools you found most effective.

Talk about integrating performance and security testing early in the development cycle. Mention specific tools you use for these types of testing and how you ensure that your team is trained and up-to-date on best practices.

Provide a specific instance where you identified inefficiencies in testing processes and how you implemented changes that led to measurable improvements, such as reduced testing times or higher test coverage.

Highlight your data-driven approach to decision-making. Discuss how you use data analytics to track quality metrics and how this informs your strategy for test automation and process improvements.