Fraud Prevention Engineer

Ensuring Authenticity for Billions of Daily Rewards

Industry reports suggest 25 percent of global mobile ad spend is lost to fraudulent activities like click farms, fake installs, SDK spoofing, and emulator farms. At adjoe, we define our platform through trust and proactive engineering. We build high-performance defenses that guarantee accurate reward attribution, ensuring every interaction is authentic. This creates a sustainable value exchange that empowers our partners to grow with confidence.

The Anti-Fraud team develops systems that detect and prevent malicious activity at scale. Our custom Android and iOS SDKs analyze device integrity for modifications like Xposed frameworks, Magisk modules, and jailbroken devices. Supporting these, Go microservices and DynamoDB deliver millisecond-level responses, while Kafka and SQS process billions of daily events in real time. This infrastructure protects publisher margins and ensures a trustworthy platform for all users.

Your Mission & Who We Are Looking For:

• AdTech Domain & Anti-Fraud Core Requirement

You bring a solid foundation in the AdTech ecosystem (publishers, advertisers, SDK attribution, monetization) and direct exposure to cheating in mobile games. Joining our Anti-Fraud Operations unit, you will act as the primary technical PoC for Support, Sales, and BI teams, owning complex fraud escalations and translating business edge cases into technical fixes.

• Investigative Mindset & Root-Cause Analysis

You possess eagle-eyed curiosity and an investigative, hacker mindset. When publisher margins drop, external platforms (iOS/Android) shift, or campaigns misbehave, you won't wait for step-by-step instructions—you will connect messy clues, reproduce exploit scenarios, and trace non-obvious fraud patterns to their source.

• AI-Empowered Big Data Interrogation

You will leverage AI tools alongside Trino SQL, ScyllaDB, and DynamoDB to rapidly query and analyze billions of daily telemetry events. You will direct AI to accelerate complex data analyses, build models, and surface bad actors in real time without getting bogged down in manual query assembly.

• Observability, Profiling & Microservice Debugging

You will monitor platform health and debug system anomalies using Kibana, Grafana, and Go profiling tools like Pyroscope and pprof. You will trace real-time pipeline bottlenecks and API glitches across Kafka, SQS, and Go microservices to catch bugs or platform misconfigurations.

• Cross-Functional Fraud Mitigation & Pragmatic Engineering

You bring a functional software development background in backend engineering (preferably Go) alongside experience with AWS cloud infrastructure, allowing you to comfortably navigate backend code logic. Collaborating with Backend, Mobile, and Data Science teams, you will use AI to draft clean code fixes, propose new detection rules, and take full responsibility for deploying verified mitigations that protect publisher margins.

🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.