Visa Cybersecurity – Product Security Engineering team is looking to secure and innovate Visa's products and services by operationalizing the usage of AI and decision intelligence to ensure ongoing business values. The role is for a specialist with hands-on generative AI experience, who thrives on solving complex challenges, modernizing legacy code, and embracing cutting-edge technologies like LLMs.
Requirements
- Hands-on expertise with Java, Spring, Python and related technologies.
- Experience in Gen AI, Big data and UI technologies will be an added advantage.
- Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase.
- Highly skilled in realizing the full potential of LLM-based AI frameworks.
- Ability to work effectively on multiple concurrent assignments with both AI and non-AI application projects.
- Experience working in an Agile and Test-Driven Development environment.
- Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable.
Responsibilities
- Hands-on Programming
- Full-stack development contributes to the design of backend, databases and queries, API creations and consumptions, and contributes to frontend UI development.
- Works independently with minimal insight to develop software that conforms to Visa’s high standards of security, quality, performance, resiliency, and compliance.
- Design, develop, and unit test applications in accordance with established standards.
- Improving the productivity of the engineering organization by infusing AI into our coding standards and practices.
- Design, Architect and Implement high robust system designs as per the growing needs
- Contribute to the roadmap for the product
Other
- This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
- Bachelor's degree, OR 3+ years of relevant work experience
- Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients.
- Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style.
- This position requires travel 5-10% of the time.
