Staff Software Engineer - job 0 of 50

As a Staff Software Engineer at Visa, you will be responsible for developing and maintaining high-performance software for the Post-Purchase Solutions platform, focusing on dispute management, AI/ML integration, and collaboration with cross-functional teams. You'll craft innovative solutions to help merchants prevent disputes and efficiently resolve issues that arise.

Candidates for the Staff Software Engineer role at Visa should typically have a strong background in software development, particularly in scalable systems, as well as experience with AI and machine learning technologies. Proficiency in Agile methodologies, especially SAFe and Scrum, is also crucial, along with excellent problem-solving skills and the ability to work collaboratively in a team setting.

In the Staff Software Engineer position at Visa, you will work with a range of advanced technologies, including AI and machine learning algorithms tailored for predictive insights and workflow management systems. Familiarity with software development best practices, particularly for high-performance platforms, is essential.

The work environment for a Staff Software Engineer at Visa is collaborative and dynamic, following Agile practices. You'll be part of a hybrid team, working both remotely and in the office for 2-3 days a week, fostering flexibility while ensuring effective teamwork with colleagues and stakeholders.

Unfortunately, Visa does not support relocation for this Staff Software Engineer position. Therefore, we are looking for local candidates based in or near Bellevue who can easily commute to the office when required.

In answering this question, focus on specific Agile experiences you've had in previous roles. Discuss your understanding of the Scrum framework and any direct involvement with SAFe methodologies. Provide examples of how you've effectively participated in sprint planning, stand-ups, and retrospectives to enhance project outcomes.

When responding to this question, describe the project, the specific challenges you faced, and how you overcame them. Emphasize your technical skills as well as your problem-solving approach. Highlight how your contributions led to the project’s success.

Address this question by outlining your specific coding practices, such as writing unit tests, conducting code reviews, and utilizing automation tools. You can also discuss how you stay updated with the latest scalable architecture patterns and techniques to ensure long-term sustainability.

This is a great opportunity to discuss any experience you have with AI/ML technologies. Explain how these technologies have been integrated into your past projects, what challenges you've faced, and the impact of these implementations on business outcomes.

In your response, focus on tools and practices that you've relied on to maintain strong communication with remote and on-site team members. Share examples of using project management software, virtual meetings, and collaborative coding tools to ensure everyone is aligned and engaged.

Discuss your approach to task prioritization, which may include using Agile methodologies or other frameworks. Explain how you assess project urgency, stakeholder needs, and work-life balance in your decision-making process.

Describe a specific instance where your contributions significantly enhanced a software product. Discuss the metrics you used to measure improvement and how you collaborated with your team to implement changes.

Talk about the resources you utilize to stay informed, such as online courses, webinars, articles, and industry conferences. You may also mention how you encourage knowledge sharing within your team to foster a culture of continuous learning.

This is an opportunity to reflect personally on your motivations, whether it's problem-solving, contributing to innovative solutions, or making a positive impact on user experiences. Strong responses will align your motivations with the company’s mission and goals.

Explain your systematic approach to debugging, starting from identifying and isolating the problem, through to testing and validating your fix. Providing a detailed process can showcase your analytical skills and methodical thinking.