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About the Role

The Value-Added Services Product Development (VAS PD) team drives revenue diversification with products that differentiate the Visa network and deliver valuable solutions across other networks. The Risk and Security Solutions (RAS) team within VAS focuses on innovative, AI-driven risk and fraud management solutions for issuers, merchants, and fintechs. This role is responsible for leading the technology strategy, solution, and execution of initiatives supporting business objectives for the Integrated Risk Platform, which supports products like Visa Enhanced Authentication, Decision Manager, Visa Risk Manager, and Identity.

Responsibilities

Define and drive the enterprise engineering and cloud strategy, aligning with business and product goals to accelerate innovation, scalability, and time to market.
Lead adoption of Generative AI and Agentic AI across the SDLC, delivering up to 10X developer productivity and enabling differentiated, AI‑powered business solutions.
Provide senior technology leadership for cloud‑first platforms (AWS, Azure, GCP), ensuring systems are secure, resilient, cost‑optimized, and engineered for 5 9s+ availability.
Establish and enforce modern engineering excellence, including CI/CD automation, DevOps, testing, observability, and architectural standards to ensure reliability and quality at scale.
Lead, mentor, and grow high‑performing, multi‑disciplinary engineering teams, fostering a culture of ownership, inclusion, accountability, and continuous learning.
Partner closely with Product, Security, Privacy, and Governance leaders to define joint product and technology roadmaps and deliver compliant, scalable solutions that meet non‑functional requirements.
Drive delivery of secure, interoperable, and fit‑for‑purpose platforms and products, balancing speed with long‑term architectural integrity and operational excellence.
Communicate technical vision and execution plans clearly to executives and stakeholders, influencing decision‑making and aligning engineering outcomes with business KPIs and leadership principles.

Requirements

12+ years of relevant work experience with a Bachelor’s Degree or at least 9 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 15+ years of relevant work experience.
15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience.
15+ years of progressive engineering experience, including 12+ years leading large‑scale product development and delivery, with a Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
Proven expertise across modern technology stacks, including Java/J2EE, GoLang, Python, Spring Boot, React, RESTful APIs, SQL/NoSQL databases, Kubernetes, Kafka, and test automation frameworks.
Demonstrated success driving measurable improvements in engineering productivity, delivery velocity, system performance, reliability, and operational excellence through data‑driven leadership.
Deep experience with cloud‑native and DevSecOps architectures, leveraging AWS and/or Azure, containerization (Docker), Kubernetes, serverless computing, and automated CI/CD pipelines.
Advanced knowledge of Generative AI and Agentic AI, including hands‑on experience integrating LLMs, vector databases, RAG, prompt engineering, and AI governance into production platforms to achieve order‑of‑magnitude productivity gains.
Strong foundation in secure‑by‑design architecture, including zero‑trust, defense‑in‑depth, and compliance‑driven engineering within highly regulated, mission‑critical environments.
Recognized architectural leadership, with experience designing and operating globally distributed, active‑active, multi‑region platforms requiring high availability, resilience, and scalability.
Exceptional leadership, communication, and strategic thinking skills, with the ability to influence at all levels, mentor senior leaders, and articulate complex technical strategies to executive and business stakeholders.

Skills

Java/J2EE
GoLang
Python
Spring Boot
React
RESTful APIs
SQL/NoSQL databases
Kubernetes
Kafka
Test automation frameworks
AWS
Azure
Docker
Serverless computing
CI/CD pipelines
Generative AI
Agentic AI
LLMs
Vector databases
RAG
Prompt engineering
Zero-trust architecture
Defense-in-depth architecture

Location

Hybrid

Work Type

Hybrid
Full-time

Experience Level

Senior
12+ years
15+ years

Education Level

Bachelor's Degree
Advanced Degree (Masters, MBA, JD, MD)
PhD
Computer Science
Engineering

Salary/Compensations

$206,100.00 - $360,800.00 USD per year

Benefits

Medical
Dental
Vision
401(k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program

About the Company

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.
Visa has a comprehensive benefits package for which this position may be eligible.
If you thrive on rapid growth and enjoy working alongside positive, driven teammates, you’ll feel right at home here.
Help us to uplift everyone, everywhere.
Whether you’re starting your career, pushing your capabilities or are a seasoned professional, learn how we can partner to reimagine the world.
Introduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match.
At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Our evolving technology keeps us at the heart of the digital economy, connecting people to 80+ million businesses worldwide.
Backed by a resilient, proven model, our expanding network fuels growth—for Visa and for your career.
Your journey starts here — discover how we hire
Ready to take the next step?
Learn more about life at Visa, explore our hiring process and get first-hand insights by hearing directly from our recruiters about what to expect.
Apply with confidence today!
Learn our recruiting process

Equal Opportunity

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status.
Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.