About the Role
We are looking for a talented Software Engineer to join Appdome's Identity Group. You will take part in building advanced fraud detection capabilities, working closely with security researchers and data teams to develop cutting-edge solutions that protect hundreds of millions of mobile devices.
Responsibilities
Design and develop core components of fraud detection systems from early prototyping through production-ready releases.
Build scalable backend services and distributed systems that process data at scale.
Work with large-scale datasets and collaborate with data teams to create actionable signals and features.
Write high-performance, production-quality code in C and C++ optimized for reliability and performance.
Take ideas from rapid proof-of-concept through to production, tackling complex engineering challenges across the full development lifecycle.
Requirements
B.Sc. in Computer Science, Software Engineering, or equivalent.
At least 2 years of experience developing complex enterprise systems.
Experience in C/C++ programming.
Experience in Python, Java, Linux, and Git.
Strong focus on performance, scalability, and reliability in distributed systems.
Comfortable working with large datasets and collaborating with data science and research teams.
Team player with strong collaboration and communication skills.
Quick learner with ability to adapt to new tools, methods, and frameworks.
Preferred Qualifications
Background in fraud prevention, cybersecurity, or security analytics.
Background in mobile app research or development (Android/iOS).
Experience with machine learning or data science.
Experience building high-throughput data processing systems.
Understanding of threat landscapes and attack vectors.
