Software Engineer - Analytical Engine - Featurespace at Visa

Cambridge, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Python, Machine Learning, Data Intensive Applications, Software Development Life Cycle, Secure Software Development, Real-Time Event Processing, Performance Tuning, Database Architectures, User-Friendly Design, GenAI Technologies, Linux Environment, Tensorflow, PyTorch, Parallel Computing, Distributed Computing

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description The Opportunity Featurespace are looking for a passionate and enthusiastic Software Engineer to join our 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. This position is based in our Cambridge office, with 3 days per week in the office expected. 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. Qualifications Basic Qualifications Relevant STEM degree (e.g., Computer Science, Engineering, Physics, Maths) Experience designing and developing applications in Java, Python or a similar 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 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 Additional Information 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.

Responsibilities

The core responsibilities include improving workflows for designing, deploying, and maintaining analytics, as well as engineering optimized and maintainable data-intensive applications. Team members are also expected to provide support for mission-critical services deployed to production.