Software Engineer II - job 11 of 12

As a Software Engineer II at Visa, your main responsibilities include developing and maintaining high-performance software for the Post-Purchase Solutions platform, implementing solutions for dispute management, integrating AI/ML features, and collaborating with cross-functional teams to enhance products. You will be engaged in proactive dispute resolution and participate in Agile sprints to ensure project objectives are met effectively.

To qualify for the Software Engineer II role at Visa, candidates typically need a Bachelor's or Master's degree in Computer Science or a related field, strong experience in software development, and proficiency in programming languages such as Java or Python. Familiarity with AI/ML technologies, Agile methodologies, and experience in building scalable systems are also advantageous.

In the Software Engineer II position at Visa, you’ll leverage AI and ML technologies to develop solutions that predict dispute probabilities and streamline dispute resolution workflows. This involvement not only adds sophisticated analytical capabilities to our transaction management systems but also empowers merchants to make smarter decision-making processes based on predictive insights.

The work environment for a Software Engineer II at Visa is hybrid, allowing employees to alternate between remote work and in-office collaboration. Engineers are usually expected to be in the office 2-3 days a week, making it a flexible and dynamic workplace that fosters both individual focus and teamwork.

Visa utilizes the SAFe methodology and Scrum framework for software development. As a Software Engineer II, you would participate in two-week sprints, promoting collaboration, rapid feedback, and continuous delivery of high-quality software.

When answering this question, emphasize your hands-on experience in Agile environments. Discuss specific projects where you've participated in sprints, your role in daily stand-ups, and how you've leveraged retrospectives to improve team processes.

Detail your approach to handling disputes by discussing proactive communication, your methods for gathering requirements accurately, and how you ensure clarity among team members to avoid conflicts. Highlight a past experience where you successfully resolved a dispute in the project execution.

Explain your understanding of scalability and how you design systems with performance in mind. Discuss your techniques for optimizing code and architecture to handle increased loads seamlessly.

Discuss specific AI/ML projects you have worked on, your role, the technologies you used, and how you integrated predictive analytics into software applications. Focus on the impact of your work and the lessons learned.

Provide a detailed example of a project that was particularly challenging, detailing your thought process and the techniques you employed to navigate those challenges. Focus on teamwork and what you learned from the experience.

Emphasize the importance of code reviews, automated testing, and continuous integration in your workflow. Share how you advocate for these practices in team settings to enhance overall product quality.

List the programming languages you are comfortable with, explaining your level of expertise in each. Relate this to how you have utilized them effectively in past projects to solve complex problems or enhance performance.

Discuss your experience working with diverse teams, emphasizing your communication skills, ability to adapt to team dynamics, and your role in bridging technical and non-technical conversations to drive project goals.

Mention specific project management tools you are familiar with, such as JIRA or Trello, and how you leverage these tools for task tracking, sprint planning, and ensuring transparency in team workflows.

Share your routine for staying informed about technology advancements, such as reading blogs, attending webinars, or participating in coding communities. Highlight specific topics or trends you're currently excited about.