Staff Software Engineer

About the role

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 (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.

Responsibilities

• 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
• Technology Modernization
  • Contribute to modernization initiatives for Visa University, including:
  • GenAI-driven learner support tools
  • xAPI-based learner tracking for analytics and gamification
  • Avoid adoption 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

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
  • Expert in C#/.NET with strong full-stack development across modern web frameworks, APIs, and Azure cloud
  • 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

Pay

The estimated salary range for this position is $131,600.00 to $ 210,300.00 USD per year, which may include potential sales incentive payments (if applicable).

Schedule

Variates upon the needs of the department.

Travel

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