As a key member of the delivery execution team, candidates would need to create scalable designs, write maintainable code, reusable components/services/utilities, and test cases.
Responsibilities
Work independently on defined problems and features
Apply established architectural patterns with good technical judgment
Take ownership of code quality, testing, and production reliability
Partner with GenAI agents for code generation, refactoring, and automated testing.
Experiment in Visa’s AI sandbox, where multiple GenAI models and frameworks are available for employee-driven innovation.
Apply Generative AI models to API integration challenges, anomaly detection, and intelligent automation.
Collaborates actively within a cross‑functional team
Translate functional requirements into clean, efficient, and maintainable code.
Write high‑quality, readable, and testable code aligned with defined engineering standards.
Develop and maintain automated unit and component tests.
Identify and address defects, performance issues, and reliability gaps in owned areas.
Participate in production releases and operational readiness activities.
Work closely with Product Managers, DevOps, and peer engineers.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
Bachelors degree in computer science, Engineering, Information Systems, or a related technical discipline, OR 3+ years of relevant work experience.
Preferred Qualification
1–2 years of hands-on software engineering experience building, delivering, and supporting enterprise-grade Java/J2EE applications, preferably using Spring Boot, RESTful APIs, microservices, and modern front-end frameworks such as Angular or React.
Hands-on experience with AI-assisted software delivery, including effective use of generative AI coding assistants and developer productivity tools such as Claude Code CLI, GitHub Copilot, Cline, or similar tools for prompt engineering, AI-supported code review, test generation, documentation, and productivity workflows.
Working knowledge of applied AI concepts relevant to software engineering, such as large language models, embeddings, retrieval-augmented generation, agentic workflows, model limitations, data privacy, and responsible AI practices.
Strong foundation in software engineering principles, clean code practices, object-oriented design, data structures, algorithms, distributed systems, and scalable application architecture.
Strong analytical, problem-solving, and debugging skills with the ability to troubleshoot complex issues across application, integration, data, infrastructure, and AI-assisted delivery workflows.
Excellent communication skills with the ability to explain technical decisions clearly, collaborate across Product, Architecture, DevOps, QA, and Security teams, and document designs and trade-offs concisely.
Experience in financial services, payments, dispute processing, or other high-volume, mission-critical enterprise platforms is a strong plus.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
