Senior FICC Automation & Electronic Trading Systems Engineer - GBM Public - NYC

Goldman Sachs•New York, NY

About The Position

We are seeking a highly skilled and experienced Senior FICC Automation & Electronic Trading Systems Engineer to join our dynamic team. This pivotal role involves designing, developing, and optimizing a strategic, high-performance platform for real-time pricing, quoting, and lifecycle automation across various FICC derivatives products, while also ensuring robust, low-latency, and scalable electronic trading solutions. The ideal candidate will have a strong background in building large-scale distributed systems, expertise in electronic trading concepts, hands-on experience with FIX protocols, and a keen interest in leveraging AI tooling to enhance development workflows.

Requirements

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Quantitative Finance, or a related technical discipline.
5+ years of professional experience in software development, with a significant focus on electronic trading systems, large-scale distributed platforms, and automation solutions.
Proven expertise in electronic trading concepts, including market microstructure, order types (e.g., limit, market, iceberg), execution algorithms (e.g., VWAP, TWAP, POV), and low-latency system design.
In-depth knowledge and hands-on experience with FIX protocol versions (e.g., FIX 4.2, 4.4, 5.0 SP2), including message parsing, session management, and custom tag implementation.
Strong programming skills in Java (commercial experience required), with additional proficiency in C++ or Python for performance-critical applications.
Excellent object-oriented analysis and design skills.
Strong knowledge of data structures and algorithms.
Experience with real-time data processing, distributed systems, and multi-threaded programming.
Solid understanding of FICC derivatives products, financial markets, and trading workflows, particularly in pricing, quoting, and lifecycle automation.
Familiarity with automated testing, DevOps, and Continuous Deployment practices.
Excellent problem-solving, analytical, and communication skills, including experience speaking to technical and business audiences and working globally.
Comfortable multi-tasking, managing multiple stakeholders, and working as part of a global team.
Demonstrated interest in using and incorporating AI tooling and machine learning into development workflows.

Nice To Haves

Experience in NoSQL data stores, e.g., Cassandra, MongoDB, or Elastic.
Experience in modern message-oriented middleware, e.g., Kafka or RabbitMQ.
Experience in debugging complex distributed systems.
Experience with cloud platforms (AWS, Azure, GCP) for trading infrastructure.
Knowledge of network protocols and low-latency networking techniques.
Familiarity with kdb+/Q or other time-series databases.
Experience working directly with trading and sales users and converting their requirements into actionable solutions.

Responsibilities

Design, develop, and optimize a strategic, high-performance platform for real-time pricing, quoting, and lifecycle automation in various FICC derivatives products, driving real-time decision making and facilitating trade-booking.
Develop and maintain high-performance, low-latency electronic trading systems and infrastructure, ensuring robust and scalable solutions.
Work extensively with Financial Information eXchange (FIX) protocol for order routing, market data, and post-trade communication with exchanges, brokers, and other counterparties.
Collaborate closely with quantitative researchers, traders, and sales to translate complex trading strategies and business requirements into robust, production-ready code.
Perform system analysis, performance tuning, and troubleshooting to ensure optimal system reliability, accuracy, and efficiency.
Develop and maintain tools for monitoring, alerting, and reporting on trading system performance and market activity.
Participate in code reviews, architectural discussions, and contribute to the overall technical direction of the trading platform.
Proactively engage with stakeholders throughout the software development lifecycle (SDLC) and contribute to automated testing, DevOps, and Continuous Deployment practices.
Explore, evaluate, and incorporate AI tooling and machine learning techniques into development workflows to improve efficiency, automation, and system capabilities.
Ensure compliance with regulatory requirements and internal risk management policies.