Software Engineer - Sr. Consultant level

Company Description

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.

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.

We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions.

The Work itself:

• Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability
• Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings
• Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads
• Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions.
• Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology
• Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities

Essential Functions:

• Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization.
• Develops and designs advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem.
• Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed.
• Plays a key role in the development and delivery of new features across products from end-to-end.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Visa is not offering relocation assistance for this role.

Basic Qualifications:

8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.

Preferred Qualifications:

9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD

8-10 or more years of work experience

8+ years of experience in software development with Java, Python and Docker/Kubernetes

Strong knowledge of object-oriented programming, frameworks and design patterns.

Practical experience building GenAI‑powered backend services, such as retrieval‑augmented Generation (RAG), model inference pipelines, or AI‑driven recommendation/decision systems.

Experience integrating with LLM APIs (OpenAI, Anthropic, Google, or…