### 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
### 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.
### Qualifications
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
### Additional Information
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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