Senior Backend Engineer: Fraud Engine & Microservices

Senior Backend Engineer: Fraud Engine & Microservices

Full-Time 87000 - 111000 £ / year (est.) No working from home possible
Software Careers

At a Glance

  • Tasks: Build a fraud engine and collaborate with diverse teams to enhance product features.
  • Company: Join Wise, a global tech leader in money management.
  • Benefits: Competitive salary, visa relocation, and opportunities for professional growth.
  • Other info: Dynamic team culture focused on innovation and continuous learning.
  • Why this job: Make a real impact by preventing fraud and enhancing user security.
  • Qualifications: Experience in distributed systems and backend programming, preferably Java.

The predicted salary is between 87000 - 111000 £ per year.

Wise is a global technology company, building the best way to move and manage the world’s money. The Receive Risk team is part of the Acquiring Squad, in the Global Product tribe, dedicated to ensuring customers can receive money quickly and securely, using our full suite of Acquiring products. We build smart fraud detection and prevention systems to stop scammers and fraudsters from exploiting Wise or defrauding our customers.

We're looking for a Backend Engineer to build a fraud engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently.

Key Responsibilities:
  • Build a fraud engine for new products and features.
  • Collaborate with Product, Data Science, Fraud Prevention Analysts, and Fraud agents.
  • Strike the right balance between scaling quickly and mitigating risk efficiently.
Requirements:
  • Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic.
  • Proven ability to deliver high-performance, low-latency systems with a focus on speed, scalability, and reliability.
  • Strong product-oriented mindset, with end-to-end ownership of features and close collaboration across teams.
  • Proficiency in Java (preferred) or solid experience with similar backend programming languages.
  • Familiarity with messaging systems such as Kafka or RabbitMQ, and strong knowledge of relational databases (SQL).
  • Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value.
Nice to Have:
  • Understanding of basic machine learning concepts and experience building data pipelines.
  • Mentorship experience, helping team members grow and contributing to a culture of continuous learning.
Skills Required:
  • Java
  • Microservices
  • Distributed Systems
  • Kafka
  • RabbitMQ
  • SQL

Senior Backend Engineer: Fraud Engine & Microservices employer: Software Careers

Wise is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth and development, team members are encouraged to take ownership of their projects while benefiting from a culture that values continuous learning and mentorship. The opportunity to work on cutting-edge fraud detection systems not only enhances your technical skills but also contributes to the security and trust of our global customer base.

Software Careers

Contact Details:

Software Careers Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Backend Engineer: Fraud Engine & Microservices

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Prepare for those interviews! Brush up on your Java and microservices knowledge, and be ready to discuss your past projects. We want to see how you think and solve problems, so practice explaining your thought process.

Tip Number 3

Show off your passion! When you’re chatting with potential employers, let them know why you’re excited about building fraud detection systems. We love seeing candidates who are genuinely interested in making a difference.

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, we’re always on the lookout for talented engineers like you to join our team!

We think you need these skills to ace Senior Backend Engineer: Fraud Engine & Microservices

Java
Microservices
Distributed Systems
Kafka
RabbitMQ
SQL
High-Performance Systems

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role of Senior Backend Engineer. Highlight your experience with distributed systems and microservices, as well as any relevant projects that showcase your skills in fraud detection and prevention.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about building fraud engines and how your background aligns with our mission at StudySmarter. Keep it concise but impactful!

Showcase Your Technical Skills:Don’t forget to highlight your proficiency in Java and any experience with messaging systems like Kafka or RabbitMQ. We want to see how you can contribute to our team’s success, so be specific about your technical expertise.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Software Careers

Know Your Tech Stack

Make sure you’re well-versed in Java and any other backend languages you’ve worked with. Brush up on your knowledge of microservices architecture and distributed systems, as these are crucial for the role. Be ready to discuss specific projects where you've implemented these technologies.

Understand the Fraud Landscape

Since the role focuses on building a fraud engine, it’s essential to have a grasp of current fraud trends and prevention techniques. Research Wise's approach to fraud detection and be prepared to share your thoughts on how you can contribute to their mission.

Collaboration is Key

This position requires working closely with various teams, so highlight your collaboration skills. Think of examples where you’ve successfully partnered with product managers, data scientists, or analysts to deliver a project. Show that you can communicate effectively across different disciplines.

Show Your Growth Mindset

Wise values a growth mindset, so be ready to discuss how you’ve learned from past experiences. Share instances where you’ve mentored others or sought feedback to improve your skills. This will demonstrate your commitment to continuous learning and team development.