Staff SW Engineer-2

Visa•Foster City, CA

1d•$146,200 - $233,700•Hybrid

About The Position

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 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.

Requirements

5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum three (3) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum five (5) years of experience in a directly related field OR Minimum eight (8) years of directly related experience
Expertise in one or more general development languages (e.g., Java, C#, C++)

Nice To Haves

Experience with AI frameworks, LLMs, or generative AI (Claude, GPT, LangChain, etc.)
Knowledge of AI-powered development tools or building AI-enabled applications
Experience applying AI to engineering challenges or customer-facing features
Understanding of commercial payments, money movement, B2B payables, or payment processing
Experience with cloud platforms, microservices, and containerization (Docker, Kubernetes)
Knowledge of API design, integration patterns, and distributed systems
Familiarity with observability, monitoring, or DevOps practices
A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale
Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions
Familiarity with agentic AI, LLMs, AI frameworks, or machine learning applications
Experience building and deploying modern services and web applications with quality and scalability
Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc.
Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams

Responsibilities

Build and maintain AI-powered platforms, tools, and services that solve engineering productivity and customer challenges
Implement solutions leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality
Create APIs, integrations, and platform capabilities that enable AI features across CMS products
Develop scalable services that integrate AI into commercial payment and money movement systems for B2B, B2C, P2P, and G2C use cases
Collaborate with engineering teams to identify opportunities for AI integration and drive adoption
Participate in experimentation with new AI technologies and contribute to technical standards
Work on both internal engineering tools and customer-facing AI features
Works with product owners to gather and refine requirements across CMS products, considering existing tools and solutions
Develops and designs moderately advanced solutions that are robust, scalable, and integrate AI capabilities with Visa's technical ecosystem
Provides domain expertise on AI/ML technologies and their application to engineering and customer problems
Plays a significant role in the development and delivery of new features within products from end-to-end
Contributes to technical decision-making for AI adoption and standards