Senior Software Tester for AI projects - job 1 of 3

As a Senior Software Tester for AI projects at Capco, your primary responsibilities will include testing AI-driven software products, developing test concepts, and creating automated test scripts for both Java and Python applications. You'll report on manual and automated tests of component requirements and ensure quality control execution. Your experience in the financial services industry will significantly contribute to the projects you undertake.

To be successful as a Senior Software Tester for AI projects at Capco, you should have at least 5 years of experience in software automation testing, particularly in financial services. Familiarity with JUnit or Selenium testing, along with knowledge of cloud environments like AWS or Azure, is essential. A basic understanding of AI and machine learning concepts is beneficial, along with advanced proficiency in both English and German.

The recruitment process for the Senior Software Tester for AI projects position at Capco typically involves a screening call with the recruiter followed by a technical interview with an experienced colleague. You'll receive timely feedback and, if selected, an offer. Overall, we strive to make this process efficient and respectful of your time.

Capco employees enjoy a robust benefits package, including a competitive salary starting from 3,100 EUR, private healthcare, an annual bonus, and 25 vacation days per year. Additional perks include meal vouchers, a cafeteria service, a fully stocked smartphone and internet package, and various wellness and team activity options to foster a balanced work-life experience.

Yes, Capco offers a home-office friendly environment, allowing flexibility to work remotely from your home or from our office located in Bratislava - Nivy Tower. We provide the necessary resources to ensure you can work effectively, including high-speed internet and a supportive workspace.

In interviews, highlight specific projects where you've implemented automated testing using Java or Python. Discuss the tools you used, such as JUnit or Selenium, and emphasize your contributions to improving software quality. Mention the challenges you faced and how you overcame them to give your answer depth and context.

When answering this question, showcase your understanding of AI concepts and how they apply to software testing. Discuss methodologies you've used to test AI applications, including any specific case studies or successes. Emphasize the importance of testing for logic and decision-making processes in AI systems.

Outline your systematic approach to quality control, mentioning the development of test concepts and the creation of detailed test cases. Discuss the importance of documentation in your process and any tools or frameworks you use to ensure consistency and thoroughness in your testing.

Discuss your familiarity with cloud services such as AWS, Azure, or GCP, and how this experience integrates into your testing practices. Mention specific tools that enhance testing in cloud environments and talk about any challenges you've faced when conducting tests in such settings.

Talk about your commitment to professional development, referencing any relevant certifications, courses, or communities you engage with. Highlight how you utilize resources such as the Udemy online learning platform or networking events to stay updated on industry trends and best practices.

Reflect on specific challenges you've encountered, such as tight deadlines or unexpected bugs. Explain your problem-solving strategies, including collaboration with team members or innovative approaches to testing, to illustrate your critical thinking and adaptability.

Emphasize the importance of clear, constructive communication. Describe your approach to collaboration, whether through regular updates, meetings, or shared documentation, and detail how this fosters a productive environment for resolving issues early in the development process.

Discuss your organizational skills and methods for prioritizing tasks effectively. Describe any tools you use, like Kanban boards or project management software, and emphasize your ability to remain flexible and adapt to changes as needed.

Share a specific success story where you led an automated testing implementation. Detail the objectives, the process you followed, the challenges faced, and ultimately, the positive impact your work had on the project or company’s testing process.

Express your insights on the emerging trends in AI and software testing. Highlight your perspective on the role of automation and continual learning in shaping the future of the profession, and how you envision contributing to that evolving landscape.