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The Sr. SW Engineer will collaborate on a cross-functional team to design, build, and test software solutions, analyze business requirements for scalable solutions, develop new features rapidly, and support the deployment of payment services.

As a Senior Software Engineer, you will architect, design, and develop software applications while working on business and technical analysis and conducting code reviews. You will implement solutions, enhance existing software, and collaborate with cross-functional teams to meet business requirements. This role emphasizes high-quality delivery and production support in a hybrid work environment.

The Sr. Systems Engineer at Visa will address complex engineering issues, evaluate and maintain application infrastructure, troubleshoot security gaps, and implement technical solutions. This role requires a thorough understanding of systems administration on various platforms and applications while also coordinating security measures within the infrastructure.

As a Sr. Data Scientist at Visa, you'll analyze big data to provide business insights, devise innovative solutions, communicate data findings to clients, and create visual representations of complex analyses. You'll collaborate with teams to enhance data usage, develop predictive models, and assess new data sources, contributing to the optimization of products and marketing strategies.

The Principal Engineer for the GenAI Knowledge Assets team will lead the technical vision and design enterprise-level solutions for GenAI Knowledge Assets. Responsibilities include collaborating with various teams to streamline processes, implementing best practices in AI development, mentoring junior members, and driving innovation in GenAI adoption within Visa.

As a Software Engineer at Visa, you'll write optimized, secure, and scalable code, devise creative solutions, and collaborate in an Agile environment to meet business needs. You'll participate in developing end-to-end technology solutions while engaging with stakeholders and contributing to unit testing and peer reviews.

The Senior Machine Learning Engineer will build automated pipelines for AI/ML models, collaborating with data scientists and engineers to deploy solutions. They will lead model deployment, enhance personalization, mentor team members, and conduct experiments to optimize algorithms, while designing reliable distributed systems and maintaining high-performance ETL processes.