You will design and develop REST APIs and Python microservices to process high-volume data for AI-driven iGaming systems. Additionally, you will manage streaming data pipelines and optimize relational databases to ensure high-throughput and low-latency performance.
About us
We are a product R&D company that creates solutions for the dynamic iGaming Ecosystem.
Our mission is to build cutting-edge platforms that reinvent the iGaming industry.
About the team
Small engineering team building production AI systems in the iGaming industry. We work across personalization, recommendation, fraud detection, and GenAI — processing millions of events daily through real-time, near-real-time, and batch pipelines. You'll have direct ownership over systems and the autonomy to shape how they evolve.
The role
You'll build and operate the data pipelines that power our AI systems — streaming, near-real-time, and batch. You'll work with high-volume structured and unstructured data on platforms like Spark and Databricks, building the infrastructure that connects raw data to production models across personalization, fraud, and GenAI use cases.
Responsibilities
- Design and develop REST APIs for serving personalized recommendations at scale
- Build and maintain Python microservices that consume, process, and serve data in real time
- Design and optimize streaming data pipelines using Kafka
- Manage relational databases (PostgreSQL, MySQL) — schema design, query optimization, migrations
- Implement caching strategies using Redis for high-throughput, low-latency serving
- Contribute to observability — metrics, monitoring, alerting
- Collaborate with ML engineers on integrating model outputs into serving infrastructure
Requirements
- 3+ years of professional Python backend development
- Proven experience building and maintaining REST APIs in production
- Strong command of asynchronous programming (asyncio, async/await)
- Production experience with stream processing — Kafka, RabbitMQ, or equivalent message broker
- Solid relational database skills — schema design, query optimization, indexing (PostgreSQL or MySQL)
- Experience with Redis or similar in-memory data stores
- Familiarity with containerized microservice architectures (Docker)
- Strong analytical thinking and problem-solving skills
Nice to have
- Experience with Python async web frameworks (FastAPI, Starlette, or similar)
- Exposure to recommendation systems, ranking, or personalization
- Familiarity with Kubernetes
- Experience with columnar data processing libraries (Polars, pandas)
- Familiarity with Prometheus/Grafana or similar monitoring stack
- iGaming domain experience
You will get:
- Work in a technically strong environment with modern stack and mature Agile culture;
- High autonomy, decision-making authority, and close cooperation with leadership;
- A position in a product development company with a dynamic environment and several concurrent projects;
- Opportunity to contribute (your ideas for improvement implementation);
- Continuous self-improvement and growth, including budget for certifications and courses;
- Competitive salary plus financial bonuses for performers;
- Company prepaid AI agent;
- Medical insurance coverage;
- English language courses;
- Wellbeing package: online-yoga classes, Yakaboo, BetterMe App: Health Coaching, BetterMe App: Mental Health;
- Corporate events and fun team-building activities;
- Remote-first culture.