Software Engineer

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Overview:

The Software Engineer would be a part of a high-performance global team responsible for the delivery of features in the Resolve Online program.

We are seeking an Associate Software Engineer to join the Visa Resolve Online (VROL) Engineering team. You will contribute to the development of next-generation AI solutions that transform dispute management through Generative AI, Machine Learning, Conversational AI, Intelligent Document Processing, and Developer Productivity tools.

This role is ideal for engineers who are passionate about AI technologies and eager to work on enterprise-scale solutions that directly impact customer experience and operational efficiency.  Every engineer in this team will work in close collaboration with Generative AI tools as development companions, leveraging Visa’s extensive portfolio of AI models, tools, and experimentation platforms.

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.

Qualifications

Basic Qualifications:

• Bachelor's 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.