Software Engineer II - job 6 of 12

As a Software Engineer II at Visa, your key responsibilities include developing scalable high-performance software for the Post-Purchase Solutions platform, preventing and resolving disputes efficiently, and integrating AI/ML technologies for predictive insights. You will work with cross-functional teams, manage dispute resolution workflows, and contribute to shared services, all while continuously improving code quality and adhering to Visa's best practices.

To qualify for the Software Engineer II position at Visa, candidates typically need a background in computer science or a related field, alongside solid experience in software development, particularly with scalable platforms. Familiarity with Agile methodologies and a knack for AI/ML technologies will be advantageous. Excellent problem-solving skills and the ability to work collaboratively are also essential.

In the Software Engineer II role at Visa, you'll work with various technologies centered around platform development, including programming languages like Java or C#, and tools for AI/ML integration. Your work may involve leveraging cloud technologies and frameworks that support Agile development, allowing you to create innovative solutions while enhancing the transaction management process for merchants.

Yes, the Software Engineer II role at Visa is a hybrid position that allows for a mix of remote and office work. Employees are expected to be in the office 2-3 days a week, balancing their workplace experience with the flexibility of working from home, ensuring productivity while supporting business requirements.

At Visa, you'll find a collaborative and supportive team culture as a Software Engineer II. The Agile methodology promotes open communication and teamwork, allowing you to work closely with product managers, data scientists, and engineers. You'll also participate in regular sprints, fostering an environment where innovation thrives and contributions are valued.

In answering this question, highlight your practical experience with dispute management systems, including specific projects you've worked on, technologies you've used, and the outcomes of those projects. Mention any challenges you faced and how you overcame them, demonstrating your problem-solving abilities.

When addressing this question, discuss your familiarity with AI/ML concepts and your experience incorporating these technologies into software applications. Be specific about algorithms you've implemented, tools you've used, and the impact of these integrations on user experience or operational efficiency.

Describe your experience working within Agile methodologies, specifically any exposure to the Scrum framework. Explain how regular sprints, daily stand-ups, and retrospectives have influenced your development process and improved software delivery timelines and product quality.

In your answer, mention practices such as code reviews, unit testing, and adherence to coding standards. Emphasize the importance of maintainability and how you incorporate techniques like version control and documentation into your workflow to enhance collaboration with team members.

Use the STAR method (Situation, Task, Action, Result) to structure your answer. Start by providing context about the technical issue, what your role was, the steps you took to address it, and the successful outcome. This will showcase your analytical and technical skills.

Discuss your understanding of the importance of collaboration and how you effectively communicate with non-technical team members, like product managers or designers. Provide specific instances where teamwork led to enhanced outcomes and demonstrate your interpersonal skills in facilitating discussions.

Mention your commitment to continuous learning by reading industry publications, attending workshops or conferences, and participating in online courses. Highlight how staying updated with technology trends has positively influenced your work and decision-making.

Use this opportunity to talk about your time management and prioritization skills. Mention how you'd assess the situation, communicate with stakeholders, break down tasks, and possibly suggest adjustments to ensure quality while meeting deadlines, showing your proactive approach.

Provide examples of how you've identified performance bottlenecks in previous projects, the tools or metrics you used to analyze performance, and the methods you implemented to optimize it. This showcases your analytical capabilities and hands-on experience.

Offer your perspective on the values that contribute to a successful software development team, such as collaboration, trust, and clear communication. Discuss how a strong team culture affects productivity and innovation, providing examples from your experiences.