Sr. Software Engineer

VISA; Foster City (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Visa is seeking a Senior Software Development Engineer to join the Payments Products Development team. You will design, develop, and integrate AI-powered features across platforms, emphasizing robustness, security, and scalability.

You will collaborate with Product Office, Operations, Cybersecurity, and Client Support to deliver innovative payment solutions. Responsibilities include AI system design, deployment, monitoring, and continuous improvement, with a focus on client value and modern

Qualifications

• 2+ years of relevant work experience or 5+ years of relevant work experience
• Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus
• Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related tools and libraries

Responsibilities

• Design, develop, and implement innovative software solutions using AI and modern integration patterns.
• Design and integrate AI components into larger platforms including data prep, evaluation, deployment, monitoring.
• Collaborate with cross-functional teams across Product Office, Ops & Infra, Cybersecurity, Client Support, and Product Development.
• Continuously learn and share knowledge on generative AI, ML, and emerging technologies.

Skills

Java

Python

Node.js

C++

C#

Generative AI

RAG

TensorFlow

PyTorch

scikit-learn

Education

Bachelor's degree in a relevant field

Advanced degree (Masters, MBA, etc.)

Tools

TensorFlow

PyTorch

scikit-learn

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.

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

The Opportunity

We are seeking a talented and motivated Senior Software Development 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 quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence.

Essential Functions:

• AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions.
• AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle.
• Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams.
• Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth.
• Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings.
• API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions.
• Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact.
• Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools.
• Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt.
• Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification.
• Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability.

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

Qualifications

Basic Qualifications:

• 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
• Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus.
• Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries.

Preferred Qualifications:

• 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• Self-driven, adaptable, and willing to work across technologies and programming languages.
• Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models.
• Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs.
• Ability to design, implement, and integrate AI components into larger enterprise systems.
• Familiarity with common robustness, reliability, security, and responsible-use consideration