clearstreet · New York
Skills: Python
About Clear Street Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets. We started from scratch by building a completely cloud-native clearing and custody system designed for today's complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We've agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients. By combining highly-skilled product and engineering talent with seasoned finance professionals, we're building the essentials to compete in today's fast-paced markets. The Team Production Engineering is responsible for the daily operation of Clear Street's trading systems — a set of distributed network applications running on Linux hosts, integrated with liquidity venues, clearing houses, and exchanges that support billions in trading volume per day. We use a mix of open-source and proprietary software to provide low-latency direct market access across asset classes. The team's work centers on three areas: monitoring and alerting (Grafana, Wireshark), deployment and testing (Ansible, pytest), and system optimization (C++, hardware testing). The Role Own the daily operation of production trading systems: monitoring, alerting, incident response, and troubleshooting across Linux hosts and network infrastructure. Build and extend our monitoring and alerting stack (Grafana, Wireshark) and our deployment and testing tooling (Ansible, pytest), treating infrastructure as code and servers as cattle, not pets. Optimize system performance at the software and hardware level — latency, throughput, and jitter — including work in C++ and hands-on hardware testing. Interface with the many external venue and counterparty systems our platform connects t…
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