Software Quality Intelligence Engineer

Logitech

Poland

We are looking for a Software Quality Intelligence Engineer to join our Analytics & Quality Engineering team. This role combines hands-on software validation with analytics and investigation to ensure the accuracy and reliability of the data that drives engineering decisions.

You will execute targeted test scenarios to validate that software events, logs, crash reports, and telemetry are generated correctly, verify the accuracy of analytics dashboards and quality metrics, investigate field trends and regressions, and partner with engineering teams to improve software quality through data-driven insights.

Your Contribution:

Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:

Design and execute manual and automated test scenarios to validate software telemetry, events, logs, crash reports, and analytics across Logitech collaboration devices.
Validate end-to-end data flow from devices through analytics pipelines to dashboards, ensuring data accuracy and integrity.
Analyze telemetry, system logs, and field data to identify software quality trends, regressions, and opportunities for improvement.
Partner with engineering teams to investigate customer issues, perform root cause analysis, and validate software fixes.
Develop automated tools, scripts, and dashboards to monitor software quality, detect anomalies, and improve engineering visibility.
Support release readiness by providing data-driven insights into software stability, reliability, and customer impact.
Leverage AI and modern analytics techniques to accelerate data validation, quality investigations, and root cause analysis.

Key Qualifications:

For consideration, you must bring the following minimum skills and experiences to our team:

Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
5+ years of experience in Software QA, Software Analytics or Software Development.
Strong understanding of software development and software testing methodologies.
Experience validating software on Android or Linux-based systems.
Experience analyzing logs, telemetry, and software behavior.
Proficiency in SQL for data analysis and validation.
Experience with Python for automation, scripting, or data analysis.
Familiarity with data visualization tools such as Tableau, Power BI, Grafana, or similar platforms.
Strong analytical, debugging, and problem-solving skills.
Excellent written and verbal communication skills.