Staff Software Engineer (.Net/C#)

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

We are seeking a talented and motivatedindividualto join our VAS Innovation& Learning team.You will own the full software development lifecycle for a portfolio of custom-built applications and SaaS solutions, including Visa University (Visa’s flagship learning platform for financial industry professionals), Minerva (Issuer Benchmark Study service), and VCA Knowledge Xchange.

The role blends innovation strategy, architectural leadership, and hands-on engineering to deliver high-quality, scalable, and secure solutions that drive Visa’s learning and analytics capabilities forward. You will lead modernization initiatives, integrate emerging technologies such as Generative AI into learning products, and ensure these platformsremainindustry-leading for years to come.

Essential Functions:

• Client-Focused Solutions

  • Design and buildcomplex features and servicesacross .NET-based applications
  • Translate requirements intoscalable system designs and trade-offs
  • Leaddesign reviews and code quality standards
  • Troubleshoot production issues and improvesystem reliability
  • Partner with product, security, and infrastructure teams
  • Contribute toautomation, tooling, and GenAI adoption
  • Mentor engineers and influence engineering best practices

  Technology Modernization

  • Contribute to modernization initiatives for Visa University, including:
  • GenAI-driven learner support tools.
  • xAPI-based learner tracking for analytics and gamification.
  • Adopt best-in-class technology solutions to expand platform capabilities.

  Process Improvement

  • Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time-to-market.

  Engineering Excellence

  • Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience.
  • Write clean, maintainable code following established architecture and code governance principles.
  • Proactively manage and reduce technical debt.

  Incident & Change Management

  • Support incident, change, and problem management processes to ensure high availability and reliability.
  • Participate in root cause analysis and troubleshooting.

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

Qualifications

Basic Qualifications:

• 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.
• Expert in C#/.NET with strong full-stack development across modern web frameworks, APIs, and Azure cloud
• Deep experience designing scalable, resilient enterprise systems and distributed architectures
• Strong DevOps and CI/CD expertise, including containerization and release management
• Proficient in monitoring, logging, and maintaining high-quality, maintainable codebases
• Solid foundation in security, authentication, and secure development practices
• Effective collaborator with strong communication skills across global, agile teams

Preferred Qualifications:

• Strong AI/ML and data engineering expertise, including model development and large-scale data processing
• Experience building and integrating Generative AI and conversational AI solutions (RAG, NLP) into enterprise systems
• Solid understanding of deep learning and neural network fundamentals
• Advanced skills in concurrency, error handling, and enterprise-scale system design
• Proficient in version control for both software and ML models, with a track record of embedding AI into distributed systems

U.S. Applicants Only

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