About the job
Join Visa’s Technology Organization, a dynamic team of innovators dedicated to transforming the commerce landscape. Our sophisticated processing networks handle over 65,000 secure transactions per second, connecting 80 million merchants and 15,000 financial institutions globally. Here, you'll engage with complex distributed systems, tackling large-scale challenges associated with emerging payment flows, data solutions, cybersecurity, and B2C platforms.
The Opportunity:
We seek adaptable, inquisitive, and enthusiastic Software Engineers who thrive on solving intricate problems on a global scale. As a Software Engineer at Visa, you'll play a pivotal role in a cross-functional development team, inventing, designing, building, and testing software products that serve a vast, international clientele. Your contributions will directly influence the evolution of digital monetary transactions.
Your Responsibilities:
- Design and develop systems impacting 40% of the global population while upholding Visa’s engineering standards for scalability, security, reusability, and automation.
- Collaborate with diverse teams to create design artifacts and deliver exceptional software solutions across Visa’s technical landscape.
- Utilize AI/ML technologies, including model-driven decision-making, anomaly detection, predictive analytics, and intelligent automation, to enhance product capabilities and operational efficiency.
- Drive innovations in Payment Services, Real-Time Payments, Fraud & Risk Systems, Transaction Platforms, and Buy Now Pay Later technology through your software engineering and data-driven expertise.
- Develop robust and scalable solutions for merchants, B2B partners, and government entities.
- Engage in global and local initiatives, mentoring engineers and exploring new technologies, from ML frameworks to data platforms and generative AI tools.
Essential Functions:
- Demonstrate technical proficiency to understand and refine requirements effectively.
- Collaborate with product owners to gather and clarify business and technical needs, identifying AI/ML integration opportunities.
- Create advanced, scalable architectural solutions that incorporate ML-driven components such as scoring engines and intelligent routing.
- Provide domain expertise for technical documentation, including algorithmic approaches and data-driven design.
- Contribute to delivering new features comprehensively, including ML-enhanced functionalities, data pipelines, and intelligent services.
This is a hybrid position; your specific in-office days will be determined by your hiring manager.

