Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. Essential Functions: Design, build, and ship AI-powered tools that enhance the autonomous development lifecycle - from code commit to production deployment Convert AI concepts into concrete, working products with clear success metrics and measurable impact Build AI systems that improve software quality through intelligent code analysis, test optimization, and automated defect detection Develop AI-powered log analysis tools that autonomously identify issues, patterns, and anomalies across build, test, and deployment phases Create AI-driven solutions that provide deep insights into code quality, technical debt, and system performance Build deployment log analysis capabilities that automatically detect and diagnose release issues in real-time Implement one-click deployment and release automation with AI-powered validation and rollback capabilities Develop independent release systems with integrated metrics, alerts, and intelligent decision-making Solve engineering CI problems using AI agents - including build failures, automation failures, flaky tests, and code merge conflicts Apply AI engineering mindset to break down complex automation visions into achievable, shippable milestones Integrate with CI/CD platforms (Jenkins, GitLab, GitHub Actions, Argo CD) to automate test recovery, mock service generation, and code validation Develop test automation frameworks and intelligent test analysis tools that evolve from basic classifiers to self-healing systems Build audit trace systems to track AI decision-making, automated actions, and developer interventions across the SDLC Create AI agent orchestration layers that manage autonomous workflows throughout the software development lifecycle Design modular AI architectures that allow incremental feature additions and version upgrades Develop web-based dashboards and visualization tools for monitoring AI agent performance, KPIs, and failure trends Work cross-functionally with DevOps, QA, and Platform Engineering to improve system reliability and developer velocity Conduct root cause analysis for automation failures and CI/CD regressions using data-driven and AI-based methods Collaborate with product owners to gather requirements and ensure AI tools deliver practical value quickly Drive continuous innovation in AI-driven developer productivity through research, prototype building, and production rollouts Demonstrate strong execution - shipping working AI tools on schedule, iterating based on feedback and metrics We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD 6+ years of software engineering experience with strong background in AI systems and developer productivity tools. Proven ability to design, build, and ship AI-powered solutions that enhance the autonomous development lifecycle, improve software quality, and solve CI/CD problems. BS/MS/PhD in Computer Science, Software Engineering, Artificial Intelligence, or related technical field 5+ years of experience designing or leading development of developer productivity tools, AI agents, or platform engineering systems Proven track record of delivering AI solutions that enhance the autonomous development lifecycle and improve software q