Software Engineer II - job 9 of 12

As a Software Engineer II at Visa, your main responsibilities will include developing and maintaining high-performance software for the Post-Purchase Solutions platform, creating solutions to help merchants prevent and resolve disputes, and integrating AI/ML technologies to provide predictive insights. You'll work collaboratively with cross-functional teams to build and enhance products, ensuring continuous improvement in code quality and performance.

To qualify for the Software Engineer II position at Visa, candidates typically need a Bachelor's degree in Computer Science or a related field, along with hands-on experience in software development. Proficiency in programming languages such as Java, Python, or C# is essential. Experience with AI/ML technologies, Agile methodologies, and strong collaboration skills are also crucial for success in this role.

Visa is committed to fostering professional growth for its employees, including Software Engineer IIs. With opportunities to work on impactful projects, access to ongoing training and development programs, and regular performance reviews, you can tailor your career path within the company. Furthermore, you’ll be part of a culture that encourages innovation and collaboration, promoting your skills and potential.

Software Engineer IIs at Visa can expect a hybrid work environment where collaboration and flexibility are key. Employees are encouraged to work from the office 2-3 days a week, promoting teamwork and camaraderie, while also enjoying the ability to work remotely. This balance allows for focused work time alongside collaborative team efforts.

Visa values work-life balance for its employees, including Software Engineer IIs. The hybrid position allows for a flexible schedule that accommodates personal needs while aligning with business objectives. With a supportive work culture focusing on well-being and productivity, you can maintain a healthy balance between your professional and personal life.

I have several years of experience designing and implementing high-performance software solutions. For example, in my previous role, I focused on building scalable applications that can handle diverse transaction volumes effectively. I understand the importance of architecture and coding best practices and have implemented performance monitoring tools to ensure our systems run efficiently.

In a previous project, I was involved in developing a feature aimed at early detection of transaction disputes. By analyzing transaction patterns, we could identify and address potential issues proactively, resulting in a significant reduction in disputes. My approach involved close collaboration with data scientists to refine our predictive algorithms.

I believe continuous learning is vital for staying updated with emerging AI/ML technologies. I regularly attend workshops, participate in webinars, and read industry publications. I also enjoy contributing to open-source projects, which allows me to experiment with new tools and techniques in a practical environment.

I have worked extensively in Agile environments, specifically using the Scrum framework. During my last project, I played the role of Scrum Master, facilitating sprints and ensuring the team adhered to Agile principles. This experience taught me the importance of iterative development and effective team communication.

I approach collaboration with cross-functional teams by actively seeking input from various stakeholders and keeping communication lines open. I make sure to understand the goals and expertise of different team members, fostering a constructive environment where everyone's ideas can contribute to the project's success.

To improve code quality, I prioritize code reviews and automated testing. I encourage peer reviews and use tools to enforce code standards. Additionally, I regularly refactor code to enhance readability and maintainability, and I strive to keep technical debt low throughout the development process.

Managing tight deadlines involves careful prioritization and effective time management. I break projects down into manageable tasks and set milestones to track progress. When needed, I communicate with stakeholders for additional resources or adjustments to ensure we meet our deadlines without compromising quality.

I have experience integrating AI/ML features into software applications by collaborating closely with data engineering teams. Understanding model deployment and real-time data processing is crucial, and I have successfully implemented features like predictive analytics and user-specific recommendations that enhanced overall user experience.

I view feedback and criticism as opportunities for growth. During code reviews, I make it a point to listen actively, ask clarifying questions, and consider suggestions thoughtfully. I believe that constructive feedback ultimately leads to better solutions and improvements in my coding practices.

My approach to continuous learning involves setting personal goals based on industry trends and advancements. I allocate time each week to explore new technologies, engage in online courses, and join developer communities. This ongoing commitment helps me remain adaptable and enhances my contributions to projects.