Sr. SW Engineer; Full Stack

Position: Sr. SW Engineer (Full Stack)
About UsVisa 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.

Visa will accept applications for this role until at least 11-30-2026

Job Description Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 80–90% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector.

They collaborate with cross-functional teams – product managers, designers, data scientists, QA, operations, and compliance – to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements.

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.

Key Responsibilities
- Design, develop, and maintain full stack features across React/JavaScript/Type Script front ends and Java/Spring Boot and Node.js back-end services, owning delivery from requirement through production.

- Build and ship production solutions using agentic AI — LLM-backed services, tool-calling and multi-step agents, MCP servers and clients, retrieval-augmented generation pipelines, prompt and context engineering, evaluation harnesses, and guardrails for safety, cost, and latency.

- Apply AI-assisted engineering tools across the development lifecycle — code generation, refactoring, test authoring, code review, debugging, and documentation — and help the team raise its baseline productivity and quality through better AI workflows.

- Collaborate with stakeholders to interpret requirements for project components and incorporate feedback into future designs or solution fixes.

- Translate business requirements by verifying assumptions and escalating potential design issues to appropriate stakeholders.

- Participate in system design and architecture for platform components and AI-enabled services, refining code plans and contributing to design documentation.

- Design, build, and consume secure, well-documented REST APIs and microservices used by internal teams and external developer clients.

- Contribute to project estimation and escalate issues that may cause delays.

- Develop, implement, and maintain code for products, services, or components, applying coding patterns, guidelines, and best practices.

- Apply debugging and observability tools to verify assumptions and proactively flag issues before they occur.

- Participate in code reviews to ensure coding standards are followed and address routine pull requests.

- Create test plans and configure testing procedures — including unit, integration, automation, and evaluation testing for AI-driven features — to identify and resolve defects for multiple features.

- Respond to support requests during on-call rotations, troubleshooting issues and deploying fixes.

- Leverage and build knowledge of software developer tools to create, debug, and maintain code for components.

- Mentor…