Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work. Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. About the Role We're looking for a Backend Engineer to own the core logic behind our fraud management APIs – building systems that make real-time risk decisions at scale. You'll leverage Appdome's extensive threat visibility and historic data to outsmart fraudsters and protect millions of users worldwide.
What You'll Do
* Own the business logic of fraud management APIs and the risk assessment & profile builder algorithms.
* Design, develop, and maintain systems that make split-second decisions, balancing security with customer experience.
* Leverage Appdome's threat data to continuously enhance the fidelity of risk evaluation.
* Ensure the system meets required accuracy and performance metrics as threats evolve and volumes grow.
* Collaborate with product management, data engineering, and DevOps teams to evolve detection capabilities
What You'll Do
* Own the business logic of fraud management APIs and the risk assessment & profile builder algorithms.
* Design, develop, and maintain systems that make split-second decisions, balancing security with customer experience.
* Leverage Appdome's threat data to continuously enhance the fidelity of risk evaluation.
* Ensure the system meets required accuracy and performance metrics as threats evolve and volumes grow.
* Collaborate with product management, data engineering, and DevOps teams to evolve detection capabilities
Requirements:
* B.Sc. in Computer Science, Data Engineering, or equivalent experience.
* 2–3+ years of backend development experience with real-time data processing, event-driven architectures, or streaming.
* Familiarity with microservices architecture and RESTful API design.
* Demonstrated proficiency in high-level programming languages such as Python, Node.js, and Go.
* Familiarity with AWS and cloud-based fundamentals.
* Strong problem-solving skills and a proactive, independent mindset.
* Experience with ML-based or rule-based fraud detection systems.
* Experience with data modeling or building scoring/decisioning systems.
* Solid understanding of DevOps practices and CI/CD pipelines. Independent & Self-Driven – Comfortable owning a domain with high-impact decisions. Analytical – Passionate about accuracy, performance, and outsmarting adversaries. Adaptable – Thrives where the challenges are constantly changing.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
* B.Sc. in Computer Science, Data Engineering, or equivalent experience.
* 2–3+ years of backend development experience with real-time data processing, event-driven architectures, or streaming.
* Familiarity with microservices architecture and RESTful API design.
* Demonstrated proficiency in high-level programming languages such as Python, Node.js, and Go.
* Familiarity with AWS and cloud-based fundamentals.
* Strong problem-solving skills and a proactive, independent mindset.
* Experience with ML-based or rule-based fraud detection systems.
* Experience with data modeling or building scoring/decisioning systems.
* Solid understanding of DevOps practices and CI/CD pipelines. Independent & Self-Driven – Comfortable owning a domain with high-impact decisions. Analytical – Passionate about accuracy, performance, and outsmarting adversaries. Adaptable – Thrives where the challenges are constantly changing.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
This position is open to all candidates.
