Director, Software Engineering(hr Technology)

Visa Visa · Fintech · Austin, TX

Director of Software Engineering for HR Technology at Visa, leading teams in delivering secure, scalable fintech applications. The role involves overseeing the full SDLC, driving agile and DevSecOps practices, and ensuring integration with AI/ML capabilities (Generative AI, Agentic AI) while adhering to governance, explainability, and regulatory compliance. It requires leadership, coaching, and partnership with various functions, with a significant portion of time potentially spent on hands-on coding and technical prototyping. The role emphasizes building and deploying GenAI services and web applications, with experience in modern tech stacks and AI patterns like RAG, prompt/tool orchestration, evaluation, and observability being highly valued.

What you'd actually do

  1. Leads software development teams in delivering secure, scalable, high-quality fintech applications and platforms.
  2. Oversees the execution of the full software development lifecycle—from backlog refinement through build, test, deployment, monitoring, and iteration—ensuring delivery meets business priorities, regulatory requirements, and ethical standards.
  3. Drives disciplined agile and DevSecOps practices, automated testing, CI/CD pipelines, and continuous improvement to optimize delivery speed, quality, and resilience.
  4. Ensures development work integrates responsibly with AI/ML capabilities—including Generative AI and Agentic AI coding—and that all outputs adhere to established data governance, model explainability, and financial regulatory compliance standards.
  5. Acts as a leader for engineering teams, removing blockers, enabling productivity, and fostering an inclusive, high-performance culture.

Skills

Required

  • 10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience
  • Digital fluency
  • Experience with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot)
  • Strong proficiency in one or more modern stacks (frontend, backend, cloud)
  • Experience with performance optimization
  • Experience with data security
  • Experience with data modeling
  • Experience with GenAI/LLM-enabled application patterns
  • Experience with role-based access control
  • Experience with sensitive data handling (PII)
  • Experience building, deploying, and driving adoption of modern GenAI services and web applications
  • Experience with quality, scalability, and operational excellence
  • Experience collaborating with Product, UX, QA, DevOps/SRE, Agile/Scrum teams, and stakeholders such as HR and Security/Privacy

Nice to have

  • Experience delivering HR, employee-facing, or enterprise workflow solutions
  • Experience with React/Angular
  • Experience with Kubernetes
  • Experience with Docker

What the JD emphasized

  • regulatory requirements
  • financial regulatory compliance standards
  • data governance
  • model explainability
  • GenAI/LLM-enabled application patterns
  • RAG
  • prompt/tool orchestration
  • evaluation
  • observability
  • role-based access control
  • sensitive data handling (PII)
  • modern GenAI services and web applications