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

Role Summary:

We are seeking a talented and motivated Software Engineer to join our Payments Products development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms.

You will be tasked to quickly grasp and evaluate new ideas and technologies from both internal and external sources and match them appropriately with emerging technology and business opportunities, building a culture of innovation and a drive for excellence.

Essential Functions:

• Innovative Development: Engage in the design, development, and implementation of innovative software solutions, using generative AI and modern integration patterns. Contribute to a culture of innovation by actively exploring and applying new ideas and technologies.
• AI Solution Engineering: Support the implementation, fine-tuning, evaluation, integration, and deployment of AI components within enterprise applications, with attention to model robustness and operational quality.
• Collaborative Engineering: Collaborate with cross-functional teams to develop and deliver complex projects that integrate emerging technologies with our existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and other Product Development teams to build comprehensive solutions.
• Continuous Learning: Engage in continuous learning and development, actively seeking opportunities to enhance your skills and knowledge. Collaborate with peers to share insights and drive team growth.
• API and Integration Development: Contribute to the design and development of APIs that enhance the integration of our Payment Product applications, platforms, and solutions.
• Engineering Excellence: Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience. Contribute to the management and reduction of technical debt within projects.
• Automation and Best Practices: Implement best engineering practices and automate software development, testing, and deployment processes. Ensure the timely delivery and maintenance of multiple services, focusing on continuous improvement.

• Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale
• Challenge the Status Quo: Comfort in pushing the boundaries, hacking beyond traditional solutions
• Language Expertise: Expertise in one or more general development languages such as Java, Python, NodeJS, C#, or C++
• AI Builder: Experience building, evaluating, integrating, and deploying Generative AI or machine learning capabilities within modern services and web applications
• Builder: Experience building and deploying modern services and web applications with quality and scalability
• Learner: Constant drive to learn new technologies such as GenAI, Angular, React, Kubernetes, Docker, and MLOps
• Partnership: Experience collaborating with Product, Test, DevOps, and Agile/Scrum teams

• Bachelor's degree, OR 3+ years of relevant work experience.
• Expert-level skills in Java, Python, and/or NodeJS; skills in C++ and C# are a plus.
• Experience building Generative AI applications, conversational AI, RAG architectures, techniques, and libraries.

• Expertise in application security, SSDLC, and cryptography fundamentals.
• Self-driven and willing to work across technologies and languages.
• Understanding of NLP, including tokenization, word embeddings, and basic sequence models.
• Experience implementing and fine-tuning AI models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Understanding of model compression techniques and related trade-offs.
• Awareness of transfer learning concepts and practical applications.
• Ability to design, implement, and integrate AI components into larger systems.
• Familiarity with common robustness issues in AI systems.
• Familiarity with machine learning and deep learning basics, including neural network architectures and training procedures.
• Exposure to machine learning operations (MLOps) and best practices for deploying AI and machine learning models.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Proficiency in front-end web development technologies such as ReactJS, Angular, and NodeJS.
• Ability to work with large datasets and perform exploratory data analysis.
• Expertise in multi-threading, concurrency, and error handling.
• Knowledge of version control, CI/CD pipelines, and best practices for deployments.
• Working knowledge of distributed in-memory computing technologies such as Redis.