About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job 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. Our teams build and operate complex distributed systems at massive scale, solving challenges across payment flows, real-time data processing, cybersecurity, and next-generation digital platforms. Within this, Value Added Services (VAS) – Digital Marketing is a key growth area for Visa, focused on building differentiated, data-driven solutions that extend the value of the Visa network beyond payments. About the Team: 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 Enabling automation, developer productivity, and intelligent decision-making While these capabilities rely on strong data foundations, the primary focus is on applying AI and generative AI to solve real-world business problems at scale, with enterprise-grade security and reliability.

Job Summary

Staff Data Engineers are expert problem-solvers, builders, and technical leaders who design and evolve platforms powering next-generation AI and data-driven applications. In this role, 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. You will independently understand data ecosystems, system design patterns, and security, privacy, and governance requirements, applying this knowledge to design robust and production-ready solutions. You will translate complex business requirements into scalable architectures and guide implementation across the team. This role requires strong expertise across backend engineering, data platforms, microservices, and real-time distributed systems, along with the ability to influence engineering practices and drive high standards across teams. All roles require digital fluency, including hands-on experience or familiarity with Generative AI tools (e.g., Claude Code, Cline, Codex, and GitHub Copilot) to enhance developer productivity and enable intelligent engineering workflows. 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 Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic

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

Experience

developing unit, integration, and end-to-end tests with a strong focus on automation

Experience

building and maintaining CI/CD pipelines and deploying applications using containerization and orchestration tools

Experience

working with cloud platforms such as AWS, including building and operating scalable, cloud-native applications

Experience

monitoring applications in production and troubleshooting issues using observability and logging tools

Experience

integrating AI/ML or Generative AI services into applications, including working with LLM-based systems

Experience

collecting and analyzing metrics to drive system optimization, performance, and reliability improvements

Experience

collaborating with cross-functional stakeholders to clarify requirements and deliver robust technical solutions

Experience

applying secure coding practices and complying with enterprise security and regulatory standards

Preferred Qualifications

6+ years of work experience with a Bachelor’s degree or 4+ years with an advanced degree Hands-on experience building applications using LLM providers such as OpenAI, Anthropic, or similar platforms

Experience

designing and implementing GenAI workflows, including prompt design, context management, and orchestration patterns

Experience

with data and distributed technologies (Kafka)

Experience

building and operating high-throughput, low-latency real-time systems

Experience

working with advanced AWS services for large-scale systems Strong experience in building, deploying, and operating production-grade systems at scale

Experience

mentoring engineers and driving engineering best practices across teams Ability to write clear, concise technical documentation and architecture designs

Experience

staying current with emerging trends in AI, GenAI, cloud platforms, and distributed systems, and applying them to real-world problems AI Engineering: Familiarity with concepts such as: Prompt engineering System prompts and instruction design Retrieval-augmented generation Vector search Embeddings Tool calling Function orchestration Context management Agent memory Evaluation datasets Model benchmarking Feedback loops A2A and MCP Protocols

Experience

with agentic AI frameworks or tools such as: LangChain LangGraph Model Context Protocol Servers Spring AI OpenAI and Anthropic SDKs Vector databases Knowledge graphs Model evaluation frameworks Ability to evaluate AI outputs objectively and improve quality, safety, reliability, latency, and cost.

Experience

using commercial or open-source AI models and APIs. Demonstrated ability to use AI tools in everyday work for coding, debugging, research, documentation, testing, or productivity improvement. Software Engineering: Strong programming ability in one or more languages such as: Python TypeScript / Node.js Go Java

Experience

building backend services, APIs, data pipelines, integrations, or cloud-native applications. Familiarity with web applications, distributed systems, databases, CI/CD pipelines, logging, monitoring, and automated testing. Ability to write clean, maintainable, secure, and production-ready code.

Experience

participating in design reviews, code reviews, and production troubleshooting. Visa is an EEO Employer 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 EEOC guidelines and applicable local law. If you thrive on rapid growth and enjoy working alongside positive, driven teammates, you’ll feel right at home here. Help us to uplift everyone, everywhere. Whether you’re starting your career, pushing your capabilities or are a seasoned professional, learn how we can partner to reimagine the world. Introduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match. At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Our evolving technology keeps us at the heart of the digital economy, connecting people to 80+ million businesses worldwide. Backed by a resilient, proven model, our expanding network fuels growth—for Visa and for your career. Your journey starts here — discover how we hire Ready to take the next step? Learn more about life at Visa, explore our hiring process and get first-hand insights by hearing directly from our recruiters about what to expect. Apply with confidence today! Learn our recruiting process