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Job Description: Technology Leader in Visa Acceptance Solutions

As a Technology Leader in the Acceptance Solutions division at Visa, you will be an integral part of our Acceptance Solutions team, contributing to the design, enhancement, and development of our transactional fraud detection engine within an agile development environment. You will collaborate with colleagues who will support and challenge you daily. Your leadership will be crucial in multiple projects, focusing on full stack development of real-time transactional services, RESTful APIs, and container-based distributed services that are highly available, secure, scalable, and resilient. You will drive the development of next-generation software leveraging machine learning and deep learning.

We believe in self-managing Agile teams that build products end-to-end, emphasizing unit testing, code reviews, and continuous integration to ensure excellent code quality. You will see your code move to production within days, serving a vast customer base. You will drive innovation that differentiates our products from competitors, ensuring accelerated time-to-market delivery.

Key Responsibilities

1. Infrastructure Design : Design reliable, performant, and fault-tolerant infrastructure.
2. Expert Development : Build expertise in developing highly available, reliable, and scalable solutions.
3. Platform Assurance : Ensure the security, reliability, performance, and cost-effectiveness of the Risk platform.
4. Collaboration : Work with product management, other VISA IT groups, and vendors to develop solutions for complex, global business requirements.
5. Standards and Governance : Establish and ensure adherence to architectural and technical standards and processes.
6. Technology Evaluation : Identify and evaluate appropriate technology solutions to meet business and technology challenges, guiding product development teams through implementation.
7. Technological Evolution : Stay abreast of evolving technologies and anticipate changes that could enhance current architectures.
8. Cloud Solutions : Design solutions for moving existing applications and services to the cloud (public and hybrid).
9. Innovation : Champion technology innovation.
10. Project Creation : Create projects, features, and stories for technology-driven initiatives.
11. PoC Development : Evaluate and develop Proof of Concepts (PoCs) for new technologies.
12. Mentorship : Mentor and groom developers.
13. Reusable Libraries : Guide teams in building reusable libraries and frameworks.
14. Technical Presentations : Prepare technical material and present to stakeholders.
15. AI Infrastructure : Lead and build scalable and distributed services to power AI infrastructure for deep learning platforms.
16. Collaborative Development : Work with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to develop and implement new data-driven business solutions.
17. Technical Leadership : Serve as a technical leader on various projects across the platform, contributing significantly to the entire platform’s architecture.
18. End-to-End Development : Drive development efforts end-to-end to deliver high-quality solutions on time that meet requirements, conform to the architectural vision, and comply with all applicable coding and security standards.
19. Production Troubleshooting : Troubleshoot production issues as needed by working closely with Product and Support Teams.

Work Arrangement

This is a hybrid position. Hybrid employees can alternate between remote and office work. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general expectation of being in the office 50% or more of the time based on business needs.

Additional Information

Visa is not offering relocation assistance for this role.

Basic Qualifications

10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred Qualifications

12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD. Experience in architecture and design of distributed, highly scalable, highly available systems. 10+ years as a technical lead in all phases of the software development life cycle. Experience in Java software development, web applications and services, Spring, technology standards and frameworks. Expertise in Java, experienced with REST APIs and container-based technologies. Experience in UI technologies (e.g., JQuery/JavaScript standards including ES6, HTML5, CSS3 and CSS4, Redux, Riot.js, React.js, D3 is a plus). Experience in migrating applications to the cloud (AWS, GCP, or MS Azure is a plus). Good experience in Kafka, Cassandra, Spark, Flink, distributed cache. Hands-on experience with containers and orchestration platforms such as Docker, Kubernetes. Knowledge of cloud infrastructure and cost-effective platforms such as AWS, Azure. Experience in microservices architecture and database sharding for large-scale projects. Experience developing large-scale, enterprise-class distributed systems or subsystems that require high availability, low latency, and strong data consistency computing. Experience implementing solutions for low-latency, distributed services using open standard technologies.

Security and Encryption

Understanding of security requirements, encryption methodologies, and best practices for securing data in transit and at rest. Experience with implementing security protocols, identity and access management, and data protection measures.

Gen AI Tools

Familiarity with the latest Gen AI tools such as Copilot, Claude, Sonet, and Bolt.new.

Skills

Strong interpersonal and leadership skills with effective communication (both written and verbal). Ability to present complex ideas in a clear and concise way. Proven experience as a technical leader with the ability to understand requirements and independently architect, design, and build solutions. Passion for mentoring and helping juniors reach new heights. Passion for Big Data and analytics, leveraging technologies like Hadoop, Spark, Solr, MapReduce. Proficiency and ease with programming languages, code quality initiatives, scripting languages, and operating systems. Well-versed in GenAI technologies, quick learner, and adopter. Hands-on experience in POC/distributed systems.

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.

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