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
The Senior Software Engineer would be a part of a high-performance Payment Product engineering team responsible for the delivery of features in the Resolve program.
We are seeking an Sr. Software Engineer to join the PPD Engineering team. You will contribute to the development of next-generation AI solutions that transform Payments Products through Generative AI, Machine Learning, Conversational AI, Intelligent Document Processing, and Developer Productivity tools.
This role is ideal for engineers who are passionate about AI technologies and eager to work on enterprise-scale solutions that directly impact customer experience and operational efficiency. Every engineer in this team will work in close collaboration with Generative AI tools as development companions, leveraging Visa’s extensive portfolio of AI models, tools, and experimentation platforms.
As a key member of the delivery execution team, you will be responsible to design, develop, and deploy scalable full stack applications enhanced with modern Generative AI capabilities. This role requires strong full‑stack engineering expertise along with deep, hands‑on experience in LLM frameworks, orchestration tools, prompt engineering, and agent-based architectures to improve the effectiveness and efficiency
- Key Responsibilities: Work independently on defined problems and features
- Apply established architectural patterns with good technical judgment
- Take ownership of code quality, testing, and production reliability
- Integrate AI components and agents with internal/external APIs, business systems, and data sources.
- Develop GenAI workflows such as retrieval pipelines, RAG systems, orchestration graphs, and agent-based architectures.
- Stay current with emerging technologies, conduct Proofs of Concept (POCs), and independently drive solution delivery in an agile environment. You are expected to deliver consistently, contribute to improving the codebase and systems you work on, and operate with a production‑first mindset.
- Translate functional requirements into clean, efficient, and maintainable code.
- Contribute to design discussions and document implementation decisions where appropriate.
- Write high‑quality, readable, and testable code aligned with defined engineering standards.
- Develop and maintain automated unit and component tests.
- Identify and address defects, performance issues, and reliability gaps in owned areas.
- Participate in production releases and operational readiness activities.
- Work closely with Product Managers, DevOps, and peer engineers.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
- 2+ years of relevant work experience and a Bachelors degree, OR 3+ years of relevant work experience
Preferred Qualifications:
- 3-6 years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
- 3–6 years of hands-on software engineering experience building, delivering, and supporting enterprise-grade
Java applications
, preferably using
Spring Boot, RESTful APIs, microservices, and modern front-end frameworks such as Angular or React
. Exposure to Big Data, Hadoop & Kafka is needed.
- Experience in technologies/software systems or a directly related field (minimum two years).
- Experience in developing and/or implementing web-based or mobile applications (minimum two years).
- Experience in system design and architecture for product components.
- Experience in debugging and troubleshooting software issues.
- Experience in code review and applying coding standards.
- Experience in test planning and execution for software features.
- Experience in responding to support requests and deploying fixes.
- Experience in using software developer tools for code creation and maintenance.
Hands-on experience with AI-assisted software delivery, including effective use of generative AI coding assistants and developer productivity tools such as Claude Code CLI, GitHub Copilot, Cline, prompt engineering, AI-supported code review, test generation, documentation, and productivity workflows.
- Working knowledge of applied AI concepts relevant to software engineering,
- such as large language models, embeddings, retrieval-augmented generation, agentic workflows, data privacy, and responsible AI practices.
- Strong foundation in software engineering principles, clean code practices, object-oriented design, data structures, algorithms, distributed systems, and scalable application architecture.
- Strong experience with CI/CD pipelines, automated unit, integration, component, and regression testing, code quality gates, version control, and release automation.
- Experience working in Agile delivery teams with strong ownership of stories, design decisions, engineering quality, production support, and continuous improvement.
- Strong analytical, problem-solving, and debugging skills with the ability to troubleshoot complex issues across application, integration, data, infrastructure, and AI-assisted delivery workflows.
- Excellent communication skills with the ability to explain technical decisions clearly, collaborate across Product, Architecture, DevOps, QA, and Security teams, and document designs and trade-offs concisely.
- Experience in financial services, payments, dispute processing, or other high-volume, mission-critical enterprise platforms is a strong plus.
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.
