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.
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, Weaviate, FAISS, Milvus), as well as prompt design and context management Experience building agent-based AI systems using frameworks such as LangChain, LangGraph, AutoGen, or similar tools, including secure API integration and workflow orchestration Experience implementing monitoring, logging, and reliability practices for data and AI pipelines Proven ability to partner with data scientists, ML engineers, and platform teams to deploy and scale AI solutions effectively Familiarity with data visualization tools like Tableau, Power BI, or Superset is a plus Skills and Attributes Growth-oriented mindset with a passion for learning and tackling complex, large-scale challenges Willingness to challenge conventional approaches and explore innovative solutions Strong foundation in one or more programming languages such as Java, C#, or C++ Experience building and delivering scalable, high-quality applications Continuous learner with interest in modern te