This job board retrieves part of its jobs from: Toronto Jobs | Emplois Montréal | IT Jobs Canada

Your last stop to finding a great job in Texas

To post a job, login or create an account |  Post a Job

Software Engineer


This is a Full-time position in Bellville, TX posted August 22, 2020.

Company Description As the world’s leader in digital payments technology, Visa’s mission is to connect the world through the most creative, reliable and secure payment network
– enabling individuals, businesses, and economies to thrive.

Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and 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, and 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 and 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, and be part of an inclusive and diverse workplace.

We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and 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 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.

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

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 more Experience in leading edge areas such as Machine Learning and Deep Learning, ML libraries/tools is a plus You 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 solution You 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 Services You’ll play key role to design and implement various components of our global transaction processing systems You have excellent communication and interpersonal skills and above all, you are a team player Qualifications Basic Qualifications: 2 years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g.

Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience 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 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 is a plus 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 This position requires the incumbent to be available during core business hours.

Travel Requirements This position requires the incumbent to travel for work 5% 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, and reach with hands and arms.

EEO Statement 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.