Software Engineer II - job 12 of 12

As a Software Engineer II at Visa, you'll be primarily responsible for platform development, dispute management solutions, and AI/ML integration. Your role will involve maintaining scalable software for the Post-Purchase Solutions platform, creating systems to help merchants preemptively manage disputes, and developing predictive features to improve decision-making based on AI and machine learning technologies.

To qualify for the Software Engineer II role at Visa, candidates should possess a Bachelor’s degree in Computer Science or a related field, along with strong programming skills in languages such as Java, Python, or C#. Experience with software development methodologies, particularly Agile and SAFe, is essential, as well as familiarity with AI/ML technologies and a commitment to high code quality standards.

Software Engineer IIs at Visa work in a hybrid environment, where they alternate between remote work and in-office collaboration 2-3 days a week. This setup encourages flexibility while ensuring that team members can benefit from face-to-face interaction and collaboration, which are vital in an Agile setting.

The Software Engineer II role at Visa significantly contributes to our mission by enhancing merchants' transaction management systems. By developing innovative solutions to prevent disputes and resolve issues quickly, this position ultimately drives merchant satisfaction and strengthens the overall efficiency of financial transactions.

Visa promotes continuous learning and growth for its Software Engineer IIs through collaborative projects, cross-functional team engagement, and access to advanced technologies. Engineers are encouraged to adopt best practices in coding and development, while also evolving their skills in emerging areas like AI/ML, providing a solid pathway for career advancement.

In your response, highlight specific examples of Agile methodologies you've used, such as Scrum. Discuss how your participation in sprints, retrospectives, and daily stand-ups facilitated better communication and project outcomes. Mention any tools you've used (like Jira) and how they helped manage your tasks effectively.

When asked this, share your systematic approach to debugging. Talk about how you prioritize understanding the problem, reproduce the error, and then trace the code to identify the root cause. Provide an example of a complex issue you resolved and the methodologies you employed to do so.

Discuss any projects where you've integrated AI/ML, emphasizing specific technologies or frameworks you've worked with. Explain how you've utilized predictive analytics to enhance software products, and share your thought process on how AI can improve decision-making processes for users.

Share your strategies for maintaining code standards, such as conducting regular code reviews, using automated testing, and following best practices. Discuss how you balance speed of delivery with the need for high-quality, scalable solutions, providing specific experiences as examples.

Use this opportunity to detail a project where you collaborated with product managers, designers, or data scientists. Highlight the value of diverse insights in your project, the challenges faced, and how those were overcome to deliver a successful outcome.

Discuss platforms you follow, communities you engage with, and any continuous education you pursue, such as online courses, workshops, or certifications. Emphasize your proactive approach to learning and how it contributes to your work at Visa.

Select a project where you faced significant challenges, whether technical or collaborative. Describe the problem, your role in addressing it, and the ultimate outcome. This shows your resilience and problem-solving capabilities.

Respond by emphasizing adaptability, which allows engineers to quickly learn and adjust to new technologies and methodologies. You could also discuss the importance of teamwork and clear communication in achieving project goals.

Discuss how you manage your workload during sprints, perhaps by using tools like Trello or Jira. Talk about your ability to communicate with your team to ensure everyone is aligned and priorities are clear, ultimately optimizing outcomes.

Share your enthusiasm for Visa's innovative solutions in the payments industry and the opportunity to work with cutting-edge AI/ML technologies. Discuss how the role aligns with your career aspirations and how you can contribute to Visa's mission.