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
Visa’s Technology Organization is a community of innovators redefining the future of digital commerce. We operate one of the world’s most advanced payment networks—processing over 65,000 secure transactions per second across 80+ million merchants, 15,000 financial institutions, and billions of consumers globally.
Within this ecosystem, the Payment Fraud Disruption (PFD) organization plays a critical role in securing the network through advanced data platforms, AI/ML, and real-time risk intelligence capabilities.
The Opportunity
We are seeking a Senior Manager in Software Engineering to lead strategic engineering initiatives focused on developing innovative, scalable, and resilient platforms that strengthen fraud prevention capabilities and protect the global payments ecosystem.
This is an AI-first engineering leadership role where you will:
- Lead development of AI/ML-powered, real-time data platforms
- Drive adoption of AI-augmented engineering practices
- Scale teams building intelligent, global risk systems
You will play a key role in applying AI both to fraud detection platforms and to improving engineering productivity.
What You Will Do
- Lead high-impact engineering teams building real-time, data-intensive risk platforms
- Promote adoption of AI-assisted development workflows (e.g., Copilot, ChatGPT, Claude) to improve coding, testing, debugging, and documentation
- Design and evolve real-time streaming and batch platforms integrated with AI/ML models for fraud detection and risk scoring
- Provide hands-on technical leadership through architecture reviews and complex problem solving
- Improve engineering velocity through automation and modern tooling across CI/CD and observability
- Own end-to-end delivery from architecture through production
- Ensure high availability, scalability, and operational excellence for mission-critical services
- Collaborate with Product, Risk, Data Science, and Platform teams
- Foster a culture of continuous learning, innovation, and engineering excellence
Core Responsibilities
- Translate business requirements into scalable, high-performance architectures
- Lead design and architecture reviews for real-time systems
- Drive engineering best practices and productivity improvements
- Mentor engineers in distributed systems, data engineering, and modern development practices
- Build and retain high-performing global teams
- Maintain hands-on capability in distributed and data-intensive systems
Why This Role
- Opportunity to build AI-powered fraud and risk intelligence systems within the Payment Fraud Disruption organization
- Lead transformation toward AI-augmented engineering practices
- Work on real-time, mission-critical platforms at global scale
- Combine technical leadership, people leadership, and platform innovation
Work Location
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications:
- 12+ years of experience (or 10+ with advanced degree) in Computer Science or closely related field
- Proven 3+ years of management experience leading high performing engineering teams while remaining hands-on
- Strong experience building real-time or streaming data platforms
- Deep understanding of distributed systems, data structures, and algorithms
- Hands-on experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude or similar) for coding, debugging, testing, or documentation
- Experience working in Agile environments
- Proven ability to partner effectively with Product teams
- Track record of improving engineering productivity, quality, and processes.
Preferred Qualifications
- Experience building data-intensive or AI/ML-driven platforms, preferably in fraud, risk, or cybersecurity domains
- Practical understanding of LLM and GenAI capabilities in engineering workflows
- Experience integrating AI-assisted practices into development processes
- Hands-on expertise in:
- Java or Python
- Apache Kafka, Spark, Hadoop, Hive
- MySQL, PostgreSQL
- Proven experience leading distributed global teams
- Ability to drive improvements in engineering velocity and system reliability
- Strong communication and stakeholder management skills
- Growth mindset with a strong focus on innovation
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.