Visa
Senior Software Engineer - Analytical Engine - Featurespace
Visa, Cambridge, Massachusetts, us, 02140
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 Senior 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 an 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
Experience of the full SDLC, including source control, testing and code reviews
Experience 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.
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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 Senior 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 an 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
Experience of the full SDLC, including source control, testing and code reviews
Experience 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.
#J-18808-Ljbffr