iRage builds algorithmic trading infrastructure for Indian markets using Python, C++, and low-latency networking (FIX, TCP/IP, WebSocket). The tech stack—heavy on performance-critical languages, monitoring (Nagios), and cloud primitives (AWS, Azure, GCP, Kubernetes)—reflects a systems engineering organization optimizing for microsecond-scale execution. Active projects center on performance/load testing, CI/CD pipelines, and deployment automation, suggesting a mature focus on operational reliability for business-critical systems.
iRage is a quantitative trading firm founded in 2009 to exploit algorithmic trading opportunities in Indian markets following the introduction of direct market access. The company designs high-frequency trading systems and statistical arbitrage strategies for institutional investors. Operations span strategy development, technology infrastructure, and fund management, with current hiring concentrated in engineering and finance roles. The organization operates from Mumbai with roughly 50–200 employees and remains privately held.
Python, C++ (C++11/C++14), Go, SQL, FIX protocol, WebSocket, REST, TCP/IP, AWS, Azure, GCP, Kubernetes, Docker, Git, Linux, Nagios for monitoring, and gdb for debugging.
Performance and load testing, CI/CD pipeline integration, deployment automation, configuration management, Python-based operational tooling, and automation test suites for backend systems supporting algorithmic trading infrastructure.
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