Director, Sw Engineering

Visa Visa · Fintech · Austin, TX

Director of Software Engineering for Visa Commercial Payment Platforms (VCS) team, responsible for leading multiple engineering teams in designing, developing, and scaling applications. The role involves technical leadership in microservices, APIs, cloud frameworks, and full-stack web applications, with a focus on engineering excellence, modern practices, and talent development. While the role mentions using generative AI to improve development productivity, its core function is not AI/ML model development but rather the engineering and delivery of payment platform capabilities.

What you'd actually do

  1. Lead multiple software engineering teams building core components of Visa’s Commercial Card Platform.
  2. Guide end‑to‑end delivery from feature definition to deployment, ensuring high‑quality, secure, and reliable software.
  3. Drive engineering excellence through best practices, automation, observability, and cloud‑native development.
  4. Provide technical leadership across microservices, APIs, cloud frameworks, and full‑stack web applications.
  5. Recruit, mentor, and develop engineering talent.

Skills

Required

  • 10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience
  • Strong background building and scaling distributed systems or cloud-native platforms.
  • Hands-on expertise in Java/Spring, microservices, APIs (REST), and modern frontend frameworks (TypeScript, Angular).
  • Experience with relational and NoSQL databases and messaging technologies such as Kafka or IBM MQ.
  • Proven track record leading engineering teams and delivering complex software products.
  • Proficiency with Agile methodologies and modern DevOps practices.
  • Strong communication skills with the ability to simplify complex technical topics for diverse audiences.

Nice to have

  • Experience with payments, commercial card platforms, or financial technology solutions.
  • Knowledge of regulatory, compliance, and security requirements in global payments.
  • Experience integrating generative AI into engineering workflows (OpenAI APIs, GitHub Copilot, etc.) to improve productivity and code quality.
  • Champion secure SDLC and quality engineering practices.
  • Improve engineering efficiency through automation, observability, DevOps tooling, and standardized development frameworks.
  • 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD

What the JD emphasized

  • Knowledge of regulatory, compliance, and security requirements in global payments.
  • Champion secure SDLC and quality engineering practices.