Graduate Software Engineer

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.

The Opportunity

Visa are looking for a passionate and enthusiastic Software Engineer to join our Featurespace team. You will work on our industry-leading financial crime fighting technology, making the world a safer place to transact alongside our existing team of innovators and experts.

We are looking for individuals who can deliver and maintain a robust product across the full software development life cycle.  

You will help us achieve our goals and deliver success on behalf of our customers by: 

• Being responsible for analytical technology that is fast, flexible, and easy to use. 
• Implementing data intensive applications and machine learning components, enabling Analytics teams to deliver state-of-the-art models in a timely manner.  
• Optimising and scaling modelling workflows required to build analytics for increasingly large datasets.  
• Implementing new features within ARIC (our software platform) that improves the modelling lifecycle of analytics. 

It is first and foremost and engineering role – enabling users to create machine learning and analytics solutions.  

Day to Day Responsibilities 

Core responsibilities of all members of the team include:

• Improving workflows for designing, deploying, and maintaining analytics 
• Engineering optimized and maintainable data intensive applications 
• Championing software engineering process and process improvements 
• Providing support for mission critical services deployed to production including an on-call rota

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Basic Qualifications

• Recent graduate with a relevant STEM degree (e.g., Computer Science, Engineering, Physics, Maths) 
• Experience designing and developing applications in any object-orientated language
• Understanding of the full SDLC, including source control, testing and code reviews 
• Comfortable working with large codebases
• Knowledge of secure software development practices

Preferred Qualifications

• Experience designing and developing applications in Java
• Knowledge of the lifecycle around training and deploying machine learning models 
• Knowledge of parallel and distributed computing  
• Knowledge of database architectures and data layouts for efficient processing  
• Experience with real-time event processing systems  
• Experience with performance tuning and profiling  
• Ability to design information rich tools in a user-friendly way  
• Understanding and use of GenAI technologies in a secure software development lifecycle
• Experience with machine learning frameworks such as Tensorflow or PyTorch 
• Experience with working in a Linux environment  

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.