Software Engineer - Java/Python GenAI

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

Junior Software Engineers with AI-first, agentic coding expertisedesign, build, test, deploy, and maintain modern software applications while leveraging advanced Generative AI and agentic development tools to accelerate engineering outcomes. This role requires foundational software engineering skills combined with hands-on experience or strong familiarity using AI-assisted coding platforms and large language models such asClaude, OpenAI models, GitHub Copilot, Cursor, and other emerging AI development agents.

Junior Software Engineers are responsible for supporting software analysis, design, programming, debugging, optimization, and modification of applications across commercial, enterprise, and end-user environments. They write quality code, develop automated tests, support CI/CD pipelines, integrate systems, and assist with production application support under guidance from senior team members.

In addition to traditional engineering responsibilities, this role emphasizes the effective use ofAI coding assistants, agentic workflows, prompt engineering, automated code generation, AI-assisted debugging, test creation, documentation generation, and developer productivity automation. Engineers are expected to use AI tools responsibly, securely, and effectively while maintaining strong human oversight, code quality, compliance, and engineering standards.

All roles requiredigital fluency, including the ability to work with emerging technologies such asGenerative AI, large language models, AI agents, automation tools, and cloud-native engineering platformsto support everyday work.

Key Responsibilities:

• Write, develop, modify, and review quality, testable, and maintainable codeacross front-end, back-end, API, integration, and data layers under guidance from senior engineers.
• Apply anAI-first engineering approachby using modern AI coding assistants and agentic development tools such asClaude, OpenAI models, GitHub Copilot, Cursor, and similar platformsto improve development speed, code quality, documentation, and troubleshooting.
• Useagentic coding workflowsto assist with code generation, refactoring, unit test creation, debugging, technical documentation, code reviews, and analysis of systems.
• Write effective prompts and provide clear engineering context to AI tools in order to generate reliable, secure, and maintainable software solutions.
• Validate, review, and refine AI-generated code to ensure correctness, security, performance, maintainability, and alignment with team coding standards.
• Support integration of applications and systems throughREST APIs, GraphQL, messaging queues, event-driven architectures, databases, and third-party platforms.
• Assist in developing and maintainingdata pipelines, batch jobs, and data processing solutionsusing appropriate frameworks and cloud services.
• Create and maintainunit, integration, and end-to-end tests, using automation and AI-assisted test generation where appropriate.
• Support and contribute toCI/CD pipelinesto automate build, test, security scanning, packaging, and deployment processes.
• Package and deploy applications across multiple environments usingcontainers, orchestration platforms, and cloud-native deployment tools.
• Debug issues using logs, metrics, traces, observability platforms, andAI-assisted root cause analysis toolswith support from senior team members.
• Monitor application performance and assist in identifying bottlenecks and implementing improvements.
• Participate in code reviews and support quality gates usingstatic analysis, automated testing, security scanning, and AI-assisted review tools.
• Learn and applysecure coding practices, including input validation, authentication, authorization, encryption, secrets management, and secure API design.
• Ensure responsible and compliant use of AI tools, including protection of confidential data,…