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- Tasks: Join us in developing cutting-edge financial crime fighting technology and enhance user analytics.
- Company: Featurespace, a leader in innovative tech solutions for safer transactions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the world while working with advanced technologies.
- Qualifications: STEM degree and experience in software development; Java knowledge preferred.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
The predicted salary is between 30000 - 50000 £ per year.
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 improve 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
- 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
- Relevant STEM degree (e.g., Computer Science, Engineering, Physics, Maths).
- Experience designing and developing applications in any 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.
Software Engineer in Cambridge employer: Visa Inc.
Contact Detail:
Visa Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current employees at Featurespace on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, make sure to highlight them during interviews. Demonstrating your experience with data-intensive applications or machine learning can really set you apart.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common algorithms and data structures, and be ready to discuss your approach to optimising workflows and maintaining robust applications.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Featurespace.
We think you need these skills to ace Software Engineer in Cambridge
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for software engineering shine through! We want to see that you’re genuinely excited about tackling challenges and making a difference in the financial crime fighting space.
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the job description. We love seeing how your background aligns with our needs, so don’t be shy about showcasing your projects and achievements!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, less is often more!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Visa Inc.
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Java and machine learning frameworks like TensorFlow or PyTorch. Brush up on your coding skills and be ready to discuss your experience with large codebases and secure software development practices.
✨Understand the SDLC
Since this role involves the full software development life cycle, be prepared to talk about your experience with source control, testing, and code reviews. Think of specific examples where you’ve improved workflows or contributed to process improvements in past projects.
✨Show Your Problem-Solving Skills
Expect technical questions that assess your analytical thinking and problem-solving abilities. Prepare to discuss how you’ve tackled challenges in previous roles, particularly around optimising data-intensive applications or working with large datasets.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the tools they use, or how they approach performance tuning. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
