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Visa // credit cards
Engineering, Full Time       Posted: Friday, July 12, 2019
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  Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable & secure payment network - enabling individuals, businesses, & economies to thrive. Our advanced global processing network, VisaNet, provides secure & reliable payments around the world, & is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, & fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network & scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, & be part of an inclusive & diverse workplace. We are a global team of disruptors, trailblazers, innovators & risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, & doing meaningful work that brings financial literacy & digital commerce to millions of unbanked & underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

Job Description

As a Staff Software Engineer, you will be part of our Enterprise Risk Solutions team to help design, enhance & build our transactional Fraud detection engine in an agile development environment. You will work with colleagues, who will support & challenge you daily. You will have the opportunity to take leadership roles on projects building full stack development of real-time transactional services, REST services API & Container based services that are highly functional, distributed, secure, scalable & resilient. You will have the opportunity to build models & software based on Machine Learning & Deep Learning. We believe in self-managing Agile teams who build products end to end focusing on unit testing, code reviews & continuous integration for excellent code quality. You will see the code written & moved to production within just a few days, to then be used by a huge customer base including Facebook, Nike, FedEx, Apple to name a few. You will be driving innovation that makes our products stand apart from our competitors, delight the customer with faster times for market delivery.

If this sounds exciting, we want to chat & tell you more about our work culture & environment & see if this will be a good fit.

Some of Your Key Responsibilities

Our engineers do more than just write code:

- You'll help our customers achieve their real goals by understanding their requirements & how they respond to their business needs.

- You'll use technologies that include Java, REST, NoSQL, Docker & more

- You'll use technologies that include ML, Deep Learning to build fraud models

- You will work with Technical Product Management to understand business requirements & architect a solution that is robust & scalable along with providing technical documentation of solution

- You have the work & academic experience that will demonstrate proficiency & ease with programming languages, code quality initiatives, scripting languages & operating systems

- You'll leverage new technologies to build the next generation of Risk Services

- You'll play key role to architect, design & implement various components of our global transaction processing systems

- You have excellent communication & interpersonal skills & above all, you are a team player!


Basic Qualifications:

You have a Bachelor degree in Computer Science, Data Science or related field & 8+ years of Software Development Experience or a Masters with 6+ years of Software Development Experience

Preferred Qualifications:

You are a Java expert & you have experience with REST APIs, JSON & exposure to container based technologies.

You have strong experience with Agile development incorporating TDD, Continuous Integration & Continuous Delivery, utilizing technologies such as GIT, Maven, Jenkins, Chef, Sonar, JUnit, Mock frameworks

You have experience building enterprise class applications that use industry best practices for reliability, availability, scalability & operability

Experience in leading edge areas such as Machine Learning & Deep Learning, ML libraries/tools is a plus

Exposure to Big Data & analytics in general leveraging technologies like Hadoop, Spark, Cassandra

Understand & own component security analysis, including code & data flow review. Collaborate with security team to implement & verify secure coding techniques

We count on your curiosity & creativity when working with your partners to create innovative solutions.

You are a quick learner & have a strong work ethic to focus on our goals

You have the passion to work with people & contribute to best practices that help the team to improve in efficiency & quality.

  • A background in the fraud detection domain is a plus
Additional Information

Additional Information

Diversity & Inclusion

Universal acceptance for everyone, everywhere, is not only our brand promise, it's the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture & background, fight for important initiatives like Equal Pay & actively work to eliminate unconscious biases that hold us all back.

By leveraging the diverse backgrounds & perspectives of our worldwide teams, Visa is a better place to work & a better business partner to our clients.


  • This position requires the incumbent to travel 10%+ domestically

Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit & stand at a desk, communicate in person & by telephone, frequently operate standard office equipment, such as telephones & computers, reach with hands & arms, & bend or lift up to 25 pounds

Additional Information

All your information will be kept confidential according to EEO guidelines.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines & applicable local law..

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