Description
Visa's Technology Organization is a community of problem solvers and innovators, reshaping the future of commerce. We operate one of the world's most advanced payment processing networks, enabling secure, reliable, and scalable transactions across millions of merchants, financial institutions, and consumers globally.
You will join a high-performing engineering team building GenAI-powered platforms and applications that enable innovation across Visa's technology ecosystem. The team focuses on developing intelligent, AI-driven applications powered by large language models, integrating generative AI capabilities into enterprise platforms and workflows, building scalable systems that combine AI, data, and distributed architectures, and enabling automation, developer productivity, and intelligent decision-making.
As a Staff Data Engineer, you will work extensively hands-on with code, data, and modern technologies to deliver secure, scalable, and high-performance systems that drive business outcomes. You will play a key role in developing GenAI-powered applications and platforms, including integrating with leading large language models such as OpenAI and Anthropic, and enabling their safe, scalable, and efficient use in enterprise environments.
Key Responsibilities:
- Act as a key technical contributor in stakeholder discussions to clarify requirements and drive architecture and design decisions
- Design and deliver scalable, resilient platforms and services supporting AI/GenAI applications and data-driven systems
- Translate functional requirements into end-to-end system architectures, leveraging established design patterns
- Build and integrate applications with large language model providers such as OpenAI and Anthropic
- Design and implement GenAI workflows, including prompt orchestration, context handling, and system integration layers
- Lead development of microservices, APIs, and platform components supporting distributed systems
- Build and optimize real-time data streaming and event-driven architectures for high-throughput applications
- Implement extensible, maintainable, and reusable code following best practices, security standards, and coding guidelines
- Take end-to-end ownership of data products, platform components, or services, including reliability, scalability, and maintainability
- Drive code reviews, mentor engineers, and guide teams on system design, coding practices, and performance optimization
- Build tools and automation to improve data processing, deployment, monitoring, and platform operations
- Ensure adherence to data management principles, governance, security, and compliance requirements
- Identify and address technical debt, and continuously improve system design and performance
- Lead troubleshooting of complex issues across distributed systems and drive root cause resolution
- Support platform upgrades, scaling initiatives, and security remediation activities
Qualifications:
- 5+ years of relevant work experience with a Bachelor's degree, or 2+ years with an advanced degree, or 8+ years of relevant work experience
- Strong core programming skills in Java, Python, or similar languages, with ability to write scalable, maintainable, and high-quality code
- Experience designing and implementing data pipelines, distributed systems, and large-scale data processing jobs
- Experience building and operating microservices-based architectures and APIs
- Experience working with real-time data streaming or event-driven systems