Staff Software Engineer II

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.

Job Description

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.     

The Opportunity: 

We are looking for versatile, curious, and energetic Staff Software Engineers who are excited to solve complex challenges at global scale and help build the next generation of AI-powered platforms at Visa. As a Visa Software Engineer, you will be an integral part of a multi-functional team designing and delivering scalable data, infrastructure, and agent-driven systems that power intelligent decision-making across Visa’s ecosystem. You will contribute to building production-grade GenAI platforms, distributed data pipelines, and autonomous workflow systems that support real-time analytics, developer productivity, and next-generation commerce experiences. Your work will directly shape the future of AI-first financial infrastructure and digital transactions worldwide.

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.

Qualifications

Basic Qualifications

• Bachelor’s degree with 8+ years of relevant experience, OR
• Advanced degree (e.g., Master’s, MBA, JD, MD) with 5+ years of experience, OR
• PhD with 2+ years of experience, OR
• 11+ years of relevant work experience in lieu of a degree

Preferred Qualifications

• Bachelor’s degree with 9+ years of experience, OR
• Advanced degree with 7+ years of experience, OR
• PhD with 3+ years of experience
• Strong programming skills in languages such as Python and Java, with experience building scalable backend systems and automation frameworks
• Solid background in DevOps and infrastructure engineering, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines (e.g., GitHub Actions, Jenkins, Argo), and Infrastructure-as-Code tools (Terraform, Pulumi)
• Experience working with streaming and distributed systems (Kafka, Flink, Pulsar) and deploying applications on cloud platforms like AWS, Google Cloud, or Azure
• Hands-on experience with GenAI and LLM-based systems, including model training, fine-tuning, and retrieval-augmented generation (RAG) workflows
• Familiarity with embeddings and vector databases (e.g., Pinecone,