Algorithmic derivatives trading on decentralized markets with high-performance infrastructure
BlockTech runs an algorithmic trading operation for crypto derivatives, built on Python, Rust, and C++ with Kafka and PostgreSQL at the core—a classic quant-infrastructure stack optimized for low-latency execution. The engineering-led hiring mix (13 open roles) and active project list (ultra-low latency components, back-testing tools, real-time monitoring) reveal a company scaling infrastructure faster than regulatory readiness; their stated pain points jump from scaling and performance to expanding into regulated markets and compliance reporting, suggesting they're hitting operational limits before compliance frameworks are in place.
BlockTech is a derivatives trading firm founded in 2018, based in Amsterdam. The company employs algorithmic and mathematical models to trade on decentralized crypto markets, with a focus on speed and execution quality. Their technology stack emphasizes high-performance computation (Rust, C++, Python) and real-time data processing (Kafka, PostgreSQL, Grafana). They operate across the Netherlands, Peru, and Singapore and are currently scaling engineering and data teams; hiring velocity is accelerating, with 13 roles posted in the last 30 days across a 51–200-person organization.
Python, Rust, C/C++, PostgreSQL, Kafka, Redpanda, Grafana, AWS, Terraform, Ansible, GitLab. The stack emphasizes low-latency data processing and high-performance computing.
Ultra-low latency trading infrastructure, pricing models, back-testing tools, real-time trade monitoring, and visualization systems for trading strategies. Current focus is on performance enhancement and production scalability.
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