At a Glance
- Tasks: Build a fraud engine and collaborate with cross-functional teams to enhance product features.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, visa relocation, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and continuous learning.
- Why this job: Join a mission-driven team and make a real impact in fraud prevention.
- Qualifications: Experience in backend development, distributed systems, and strong collaboration skills.
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.
- 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.
- 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.
- Java
- Microservices
- Distributed Systems
- Kafka
- RabbitMQ
- SQL
Senior Software Engineer I - Receive employer: Software Careers
Wise is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to make a real impact in the world of finance. Located in London, our team enjoys competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all while collaborating with talented individuals dedicated to building cutting-edge solutions for our customers. Join us at Wise, where your contributions will help shape the future of money management in a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer I - Receive
✨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 land you that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and coding challenges. We recommend setting up mock interviews with friends or using platforms that simulate the real deal. The more you practice, the more confident you'll feel!
✨Tip Number 3
Showcase your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. We love seeing what you've built and how you tackle problems, so make sure to highlight your best stuff.
✨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 passionate candidates who want to join our mission at Wise.
We think you need these skills to ace Senior Software Engineer I - Receive
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with distributed systems and any relevant projects you've worked on. We want to see how you can contribute to building that fraud engine!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about working at Wise and how your background aligns with our mission. Don't forget to mention your collaboration skills and product-oriented mindset, as these are key for us.
Showcase Your Technical Skills:Be specific about your technical expertise in Java, microservices, and messaging systems like Kafka or RabbitMQ. We love seeing concrete examples of how you've delivered high-performance systems in the past, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Wise!
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.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in building high-performance systems. Think of examples where you balanced speed and scalability while mitigating risks. This will demonstrate your product-oriented mindset and ability to deliver value.
✨Collaboration is Key
Since the role involves working closely with various teams, be prepared to share experiences where you collaborated effectively with product managers, data scientists, or fraud analysts. Highlight your communication skills and how they contributed to successful outcomes.
✨Get Familiar with Fraud Prevention
Understand the basics of fraud detection and prevention systems. If you have experience with messaging systems like Kafka or RabbitMQ, be ready to discuss how you've used them in past projects. This knowledge will show your commitment to the role and its responsibilities.
