About the project We’re working with a US-based FinTech company (New York) that builds large-scale systems for monitoring financial and crypto markets — detecting manipulation, fraud, and compliance risks. The product handles huge volumes of market data, high-load systems, and complex business/algorithmic logic. Long-term, stable cooperation — the client has partnered with us for years, and 20+ of our specialists already work within their teams.
Requirements * Strong Java, 5+ years, recent hands-on * Experience with large-scale / high-load data processing (millions+ records — batch or streaming) * Kafka or similar streaming systems * Solid multithreading / concurrency * Good understanding of data structures & algorithms, comfortable writing performance- and memory-critical logic over large in-memory datasets * English B2+
Nice to have * ClickHouse, Snowflake, or similar analytical/big-data stores * Redis, Elasticsearch * Cloud (AWS / GCP / Azure) * Experience with AI-assisted development tools (Copilot, Cursor, Claude, etc.)
Responsibilities * Build and maintain data pipelines (batch/streaming) processing high-volume market data * Design algorithm-heavy, performance-critical components * Ensure data quality: validation, deduplication, consistency * Design system architecture and choose the right tools and data structures * Optimize performance and reliability under load
Cooperation: Full-time, long-term B2B contract with European working hours, including company-provided equipment.
