Senior Mobile Software Engineer (Antifraud team)
Join our mission to protect cross-border transactions, helping customers send money safely worldwide.
As a Senior Mobile Software Engineer in our Anti-Fraud & Compliance team, you'll architect high-performance systems that detect fraud and enforce regulatory compliance.
What You'll Do:
- Design, develop, and maintain a scalable and secure data collection framework within our mobile applications (iOS and Android)
- Implement efficient and privacy-compliant methods for collecting user and device data while ensuring a seamless user experience
- Contribute to the overall architecture and technical strategy of our mobile platforms
- Collaborate with business stakeholders, MLOps engineers, data scientists and be a part of the product development team
- Enhance fraud detection systems using ML
- Stay up-to-date with the latest mobile technologies, security best practices, and anti-fraud techniques.
- Boost your career with a big international product company and have new growth opportunities
What We Offer::
- Remote work flexibility – work from anywhere as B2B contract with competitive gross compensation in USD
- If you are in Belarus and Moldova - there are perfect office spaces.
- Top-tier hardware to support your productivity.
- An exciting and challenging job with talented people around.
- Continuous learning and career growth opportunities.
- Coverage for professional development: training, seminars, and conferences.
- More perks for the Minsk and Chisinau office employees.
- Access to high-quality English lessons
We're Looking For::
- 5+ years of professional experience in mobile software development
- Experience in native mobile development (Android and iOS)
- Experience designing and building complex mobile applications
- Solid understanding of mobile architecture patterns, performance optimization, and security best practices
- Knowledge of Flutter
It would be a plus::
- Knowledge and experience beyond the mobile stack.
- Experience in the production usage of any ML technologies
- Knowledge of fraud prevention, fintech, or compliance
