Sergey Aleynikov

From LinkedIn Profile: An IT/IS professional with over 15 years of experience in building robust, reliable and intelligent software solutions for financial and telecommunications industries. Specializing in architecture and implementation of massively concurrent low-latency, highly available distributed systems in the area of high-frequency trading. • Strong hands-on skills in design and implementation of distributed mission-critical systems (involving proprietary and commercial messaging, queuing, lock-free concurrent computation, replication, and database components) processing billions of dollars in annual revenues. • Knowledge of mature technologies that give a five-fold increase in quality and productivity of development, while significantly reducing implementation time. • Strong analytical skills with proven track record of proactive problem solving. • Practical knowledge of full life cycle system design and development using agile project management principles. • Expert knowledge of relational/hierarchical database management systems. • Proven achievements in on-time and on-budget delivery of system solutions to complex business requirements. • Team-oriented with excellent interpersonal communication skills, and a motivational leader and mentor with a reputation for integrity, reliability, and quality. VP, Equity Strategy Goldman Sachs (Public Company; GS; Investment Banking industry) May 2007 — Present (2 years 3 months) • Lead development of a distributed real-time co-located high-frequency trading (HFT) platform. The main objective was to engineer a very low latency (microseconds) event-driven market data processing, strategy, and order submission engine. The system was obtaining multicast market data from Nasdaq, Arca/NYSE, CME and running trading algorithms with low latency requirements responsive to changes in market conditions. • Implemented a real-time monitoring solution for the distributed trading system using a combination of technologies (SNMP, Erlang/OTP, boost, ACE, TibcoRV, real-time distributed replicated database, etc) to monitor load and health of trading processes in the mother-ship and co-located sites so that trading decisions can be prioritized based on congestion and queuing delays. • Responsible for development of real-time market feed handlers, order processing engines and trading tools at a Quantitative Equity Trading revenue-making HFT desk.