Staff SW Engineer - GenAI

Visa's Technology Organizationis 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.
• 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., U.S. APPLICANTS ONLY: The estimated salary range for this position is 131,600.00 to210,300.00 USD per year, which may include potential sales incentive payments (if

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 PhD6+ 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 field5+ years of experience designing or leading development of developer productivity tools, AI agents, or platform engineering systemsProven track record of delivering AI solutions that enhance the autonomous development lifecycle and improve software qualityDemonstrated ability to build AI-powered tools for log analysis, deployment automation, and CI problem resolutionExperience creating independent release systems with one-click deployment capabilities and intelligent monitoringStrong understanding of CI/CD pipelines, DevOps frameworks, and experience with Jenkins, GitLab CI, GitHub Actions, Argo CD, Docker, KubernetesProven experience creating AI-assisted developer tools for mock service generation, log and trace analysis, root cause identification, and code merge conflict resolutionSkilled in developing backend and frontend components using Python, Java, Spring Boot, React, and Node.jsStrong knowledge of AI engineering methodologies with practical approach to production deployment and AI agent orchestrationHands-on experience with AWS, GitOps, Helm, and Kubernetes for deployment and observabilityExperience with QA automation (UI: Playwright, API: Rest Assured/Jest/Jasmine), ETL processes, and data pipelinesProficiency with Kafka, Hazel cast, MySQL, Elasticsearch/OpenSearch, and log analysis frameworks is a plusDemonstrated ability to convert AI concepts into working products and tools - from simple MVPs to complex production systemsDemonstrated experience developing automation and AI-assisted developer tools across build, test, and release cycles

Soft Skills:Excellent problem-solving and analytical skillsStrong product mindset with ability to prioritize features and deliver incremental valuePragmatic approach to AI development - knowing when to build simple vs. complex solutionsAbility to communicate technical concepts clearly and collaborate across engineering and product teamsPassion for innovation and building AI systems that empower engineersStrong ownership mindset and curiosity to explore emerging AI technologiesBias toward action and shipping - comfortable releasing v1 and iterating rather than over-engineering

Preferred Tools and Platforms:Languages: Python, Java, JavaScript (React, Node.js, Express.js), Shell scriptingFrameworks: Spring Boot, React, Lang Chain, Lang Graph, JUnit, Jest, Jasmine, Rest AssuredDevOps Tools: Jenkins, Argo CD, GitHub Actions, GitLab CI, Docker, Docker-Compose, Helm, KubernetesAI/ML Tools: Open AI API, Anthropic, Claude Code, Cline, CopilotTesting Tools: Playwright, Rest Assured, JUnit, Jest, JasmineData and Messaging: Kafka, Hazel cast, MySQL, ETL tools (Clover)Observability: Elasticsearch/OpenSearch, Grafana, Kibana, PrometheusCloud Platforms: AWS (preferred), Azure, or GCPPerformance Testing: Gatling, JMeter

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.