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8 дней назад

Fraud Prevention Engineer (AdTech)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Fraud Prevention Engineer (AdTech): Building and operating anti-fraud systems that protect rewarded advertising from fake installs, SDK spoofing, emulator farms, and other malicious activity with an accent on mobile attribution, real-time telemetry analysis, and high-performance backend infrastructure. Focus on investigating complex fraud patterns, debugging Go microservices and event pipelines, and deploying AI-assisted mitigations across Android, iOS, Kafka, SQS, and AWS systems.

Location: Hamburg, Germany; applications are welcome worldwide, with relocation support to Hamburg for candidates ready to join the team.

Company

hirify.global builds mobile app growth and monetization technologies, including the Playtime Arcade rewarded advertising platform connecting advertisers and publishers with more than 770 million users annually.

What you will do

  • Act as the primary technical point of contact for Support, Sales, and BI teams on complex fraud escalations.
  • Investigate fraud patterns, reproduce exploit scenarios, and identify root causes behind publisher margin drops, campaign issues, and platform changes.
  • Query and analyze billions of daily telemetry events using AI tools, Trino SQL, ScyllaDB, and DynamoDB.
  • Monitor platform health and debug anomalies using Kibana, Grafana, Pyroscope, and pprof.
  • Trace bottlenecks and API issues across Kafka, SQS, and Go microservices.
  • Collaborate with Backend, Mobile, and Data Science teams to create detection rules, implement verified code fixes, and deploy fraud mitigations.

Requirements

  • Solid experience in the AdTech ecosystem, including publishers, advertisers, SDK attribution, and monetization.
  • Direct experience with cheating in mobile games.
  • Investigative and root-cause analysis skills, including the ability to connect incomplete evidence, reproduce exploits, and trace non-obvious fraud patterns.
  • Experience using AI tools with Trino SQL, ScyllaDB, and DynamoDB to analyze large-scale telemetry data and identify bad actors.
  • Experience with observability and debugging using Kibana, Grafana, and profiling tools such as Pyroscope and pprof.
  • Backend software development experience and the ability to work with AWS cloud infrastructure.
  • Ability to collaborate with Backend, Mobile, and Data Science teams and take ownership of verified mitigation deployments.

Nice to have

  • Backend engineering experience with Go.

Culture & Benefits

  • Work on infrastructure affecting 770 million users and billions of daily decisions in adtech.
  • Ship solutions multiple times per day and learn from production results.
  • Collaborate directly across a diverse global team representing more than 40 countries.
  • Relocation support to Hamburg, Germany.
  • A direct, collaborative environment focused on ownership, learning, and practical problem-solving.

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