Company Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

　　When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

　　Join Visa: A Network Working for Everyone.

　　Job Description As a Senior Software Engineer, you will be part of our Enterprise Risk Solutions team to help design, enhance and build our transactional Fraud detection engine in an agile development environment. You will work with colleagues, who will support and challenge you daily. You are a full stack developer enjoying building real-time transactional services that are highly functional, distributed, secure, scalable and resilient. You are curious about Machine Learning and how it can be applied to fraud detection. We believe in self-managing Agile teams who build products end to end focusing on unit testing, code reviews and continuous integration for excellent code quality. You will see the code written and 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.

　　Essential Functions: 

　　You’ll help our customers achieve their real goals by understanding their requirements and how they respond to their business needs.You’ll use technologies that include Java, REST, NoSQL, Docker and moreYou’ll venture into the world of Machine Learning and Deep Learning to build fraud modelsYou will work with Technical Product Management to understand business requirements and architect a solution that is robust and scalable along with providing technical documentation of solutionYou have the work and academic experience that will demonstrate proficiency and ease with programming languages, code quality initiatives, scripting languages and operating systems You’ll leverage new technologies to build the next generation of Risk ServicesYou’ll play key role to design and implement various components of our global transaction processing systemsYou have excellent communication and interpersonal skills and above all, you are a team player 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 three days a week, Tuesdays, Wednesdays and Thursdays with a general guidepost of being in the office 50% of the time based on business needs.

　　Qualifications Basic Qualifications:

　　• 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

　　Preferred Qualifications:

　　• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

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

　　• You'll translate wireframes/mockups into functional HTML/JavaScript prototypes

　　• You have full-stack engineer experienced in front-end technologies like JavaScript, HTML5, CSS4, Redux, Riot.js and React.js

　　• You have strong experience with Agile development incorporating TDD, Continuous Integration and 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 and operability.

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

　　• Exposure to Big Data and analytics in general leveraging technologies like Hadoop, Spark, Cassandra.

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

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

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

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

　　• A background in the fraud detection domain is a plus

　　Additional Information Work Hours: Varies upon the needs of the department.

　　Travel Requirements: This position requires travel 5-10% of the time.

　　Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

　　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.

　　Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

　　U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 113,700.00 to 145,000.00 USD, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.