Software Engineer

Visa; Foster City (CA); On-site; USD 87,000 - 158,000; Full time

Job summary

Visa is seeking a Software Engineer for the Payments Products group to build cutting-edge solutions using modern technologies, AI and APIs. You will evaluate new ideas, integrate innovative capabilities, and help scale platforms.

You will collaborate with Product, Operations, Cybersecurity, and DevOps to deliver robust, secure services and drive continuous improvement across the stack.

Qualifications

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

Responsibilities

• Innovative Development: design, develop, implement innovative software solutions
• AI Solution Engineering: implement, fine-tune, evaluate, integrate AI components
• Collaborative Engineering: work with cross-functional teams to deliver complex projects
• Continuous Learning: pursue knowledge and skills development
• API and Integration Development: design APIs for Payment Product applications
• Engineering Excellence: follow best practices for quality, security, performance, scalability
• Automation and Best Practices: automate development, testing, deployment and maintenance

Skills

Java

Python

NodeJS

C++

C#

GenAI

Web services

Education

Bachelor's degree

3+ years experience

Tools

ReactJS

Angular

Kubernetes

Docker

Job description

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.

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.

The Skills You Bring

• 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

Qualifications

• 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.

Preferred Qualifications

• 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.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Information for US Applicants

For roles located in the US, the estimated salary range for this position is $86,500 to $158,100 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.