Staff Software Engineer (.Net​/C#)

Job Description

We are seeking a talented and motivated individual to 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, Minerva, 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 platforms remain industry‑leading for years to come.

• Client‑Focused Solutions
  • Design and build complex features and services across .NET‑based applications
  • Translate requirements into scalable system designs and trade‑offs
  • Lead design reviews and code quality standards
  • Troubleshoot production issues and improve system reliability
  • Partner with product, security, and infrastructure teams
  • Contribute to automation, tooling, and GenAI adoption
  • Mentor engineers and influence engineering best practices

• 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

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

• 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

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

• 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 Dev Ops 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

• 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

The estimated salary range for this position is $ to $ 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. This position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible, including Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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

Varies upon the needs of the department.

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

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected 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.