Chief SW Engineer - job 6 of 45

The Chief SW Engineer at Visa is tasked with defining and driving the technical strategy for the Risk Authentication and Identity Solutions team. This involves developing scalable systems for products like Visa Enhanced Authentication and ensuring alignment with business objectives through innovation and execution.

Candidates for the Chief Software Engineer role at Visa should have extensive experience in software development, a strong understanding of distributed systems, and proficiency in leveraging AI technologies. Leadership experience is also crucial, along with a commitment to software best practices in a cloud-first environment.

The Chief Software Engineer at Visa will work with various technologies, including cloud platforms like AWS, Azure, and GCP, while also implementing Generative AI and Agentic AI to enhance productivity. Familiarity with 3DS Authentication and identity management platforms will also be beneficial.

The work culture at Visa for the Chief Software Engineer emphasizes collaboration, continuous learning, and innovation. We promote a culture of mentorship, where sharing knowledge through tech talks and one-on-one sessions is encouraged to cultivate high-performing engineering teams.

Visa offers a hybrid work arrangement for the Chief SW Engineer position, providing flexibility to balance personal and professional commitments. This balance is crucial for fostering a productive and engaged workforce while contributing to innovative solutions.

In responding to this question, highlight specific projects where you designed or optimized distributed systems. Discuss the architecture choices you made, the challenges faced, and how you ensured scalability and reliability.

Explain your methodology for assessing business needs, current technology trends, and future requirements. Relate your answer to your previous experiences, including building consensus among stakeholders and aligning tech goals with business objectives.

Discuss how you integrate AI into software solutions, especially in risk and fraud management. Provide examples where AI has improved efficiency or enabled new product features. Your answer should reflect an understanding of both the potential and limitations of AI technologies.

Share your strategies for establishing best practices, such as introducing CI/CD automation and DevOps principles. Talk about how you foster a culture of collaboration and continuous improvement through mentorship and regular team discussions.

Choose a specific example where you faced significant challenges, detailing how you identified the issues, rallied your team, and implemented solutions. Emphasize the leadership skills that helped you lead the project to success.

Talk about your experience collaborating with security and compliance teams, including how you proactively integrate non-functional requirements into the software development lifecycle and conduct risk assessments.

Discuss the techniques you use for mentorship, including regular feedback sessions, knowledge-sharing activities, and setting growth goals. It's important to convey how you inspire and motivate engineers to take ownership of their work.

Give a thorough overview of your hands-on experience with cloud platforms, your role in cloud application development, and strategies for optimizing cloud resource usage to ensure cost-effectiveness and reliability.

Highlight your ability to tailor your communication style based on the audience. Share strategies that include using analogies, visual aids, and simplifying jargon to ensure clarity and understanding.

Discuss specific tools, frameworks, or methodologies you've introduced that have enhanced team productivity. Generative AI tools can be a great example, so emphasize any experience in implementing technology that boosts development speed.