Intern Software QA Test Engineer

Description

Job Details:

IPL QA team is responsible for ensuring the quality, reliability, and performance of infrastructure and software solutions used across multiple product development teams. We work closely with development and infrastructure engineers to validate new features, detect regressions, improve test coverage, and continuously enhance automation frameworks.

As an Intern Software QA Engineer, you will participate in designing, executing, and improving quality assurance processes for infrastructure and software components. You will contribute to functional, integration, performance, and reliability testing while gaining hands-on experience with modern DevOps and CI/CD practices.

You will collaborate with software developers, DevOps engineers, and QA engineers to identify quality issues, analyze failures, improve test coverage, and enhance test automation. This role provides an excellent opportunity to develop practical experience in software quality assurance, automation, infrastructure testing, and observability solutions.

Responsibilities

• Participate in planning, executing, and documenting functional and non-functional tests.
• Develop and maintain automated test scripts and testing tools.
• Execute regression, integration, and performance tests and analyze test results.
• Investigate failures, identify root causes, and assist in defect reporting and tracking.
• Collaborate with development and infrastructure teams to improve product quality and testability.
• Support CI/CD pipeline validation and test automation integration.
• Contribute to test documentation, test plans, and quality metrics reporting.
• Assist in monitoring and analyzing system health, reliability, and performance indicators.
• Learn and apply QA, DevOps, and software engineering best practices.
• Explore opportunities to improve testing efficiency through automation and AI-assisted solutions.

Requirements

• Minimum Qualifications:
• Currently pursuing a BSc or MSc degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Basic knowledge of software testing concepts and quality assurance principles.
• Basic programming or scripting experience with one or more of the following: Python, Bash, PowerShell, Java, or similar.
• Understanding of software development lifecycle (SDLC) and Agile methodologies.
• Familiarity with version control systems such as Git.
• Basic understanding of CI/CD concepts and automated testing.
• Basic knowledge of Linux and/or Windows operating systems.
• Strong analytical and problem-solving skills.
• Attention to detail and willingness to learn new technologies.
• Strong interpersonal and communication skills.
• Effectively communicate in English.
• Experience with test automation frameworks (e.g., PyTest, Robot Framework, Selenium, Playwright).
• Familiarity with CI/CD tools such as Jenkins or GitHub Actions.
• Exposure to container technologies such as Docker and Kubernetes.
• Understanding of monitoring and observability tools, such as Grafana, Prometheus, or New Relic.
• Experience with performance or load testing tools.
• Interest in AI-assisted testing and automation.
• Job Type:
• Student / Intern
• Shift:
• Shift 1 (Poland)
• Primary Location:
• Poland, Gdansk
• Additional Locations:
• Posting Statement:
• Position of Trust
• N/A
• EU Salary
• We offer a total compensation package that ranks among the best in the industry.
• The minimum Annual Salary for this job which could be performed in Poland is: 68 880,00 zł
• The job posting reflects the minimum base compensation for this role. Our standard internship rates are aligned with the specific job role and degree level. As part of our total compensation approach, the final offer may also include additional pay components and benefits. Your recruiting team will provide the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.
• Work Model for this Role
• This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.