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Exmox operates a real-time decision-making platform for gaming user acquisition, built on Kafka + Kubernetes + Python + Go. The tech stack reflects a heavy ML and data infrastructure focus—scikit-learn, PyTorch, MLflow, Spark, Databricks—paired with active work on high-throughput tracking pipelines and predictive analytics. Engineering and data teams (16 combined headcount) dominate the org, suggesting product complexity sits in data fidelity, real-time personalization, and fraud detection rather than sales execution.
Tech Stack 62 technologies
Core StackGraphQL Docker Kubernetes Python Go JavaScript TypeScript Vue Tailwind CSS FastAPI Flask Kafka RabbitMQ Apache Spark Databricks scikit-learn PyTorch MLflow Cypress Selenium Playwright GitHub Actions Jenkins GitLab CI/CD CSS Nuxt REST SQL SCSS Git+32 more
What exmox GmbH Is Building
◆Challenges
- High-throughput tracking pipelines
- Scaling user acquisition
- Gaps in tracking
- Optimizing roas
- Improving closing routines
- Compliance with gdpr
- Lack of real-time performance visibility
- Latency-sensitive systems
- Fraud detection
- Incident response
▲Active Projects
- Real-time decision-making backend systems
- A/b testing initiatives
- High-throughput tracking pipelines
- High-impact user acquisition campaigns
- Rewarded user acquisition
- Finance transformation and integration projects
- Predictive analytics model deployment
- Building and coaching high-performing qa team
- Qa strategy design and execution
- Real-time decision-making platform
Hiring Activity
Steady40 roles · 15 in 30d
Department
Seniority
Company intelligence
