Senior Low Latency Electronic Trading Software Engineer (Vice President)
Responsibilities
Core Development: Design, development and maintenance of high-performance, low-latency electronic execution systems
Product Collaboration: Partner with traders, quant researchers, and clients to understand their needs and translate them into innovative product features and enhancements — including execution performance improvements, new liquidity sources, and DMA capabilities.
Testing: Continuously improve and maintain testing frameworks, development tools, and environments to ensure platform reliability and performance at scale.
AI-Powered SDLC: Leverage Citi's suite of AI-powered development tools throughout the Software Development Life Cycle (SDLC) to enhance productivity, code quality, and innovation.
Agile & CI/CD: Contribute to and champion Agile development practices and Continuous Integration/Continuous Delivery (CI/CD) processes with a focus on shift-left testing and accelerated release cycles.
Platform Support & Enhancement: Build and maintain common solutions for trading platform monitoring, trade reconciliation, application recovery, and other essential support functions.
Qualifications
Minimum 7 years of experience with strong technical knowledge and expertise in Low latency Java, C++ or Rust.
Prior experience in developing electronic trading platforms in a global financial institution or equivalent environment.
Strong understanding of automated testing techniques and quality engineering practices.
Solid understanding of Agile methodologies and Continuous Integration processes.
Familiarity with low-latency system design, including performance optimization, concurrency, and high-throughput architecture.
Ability to prioritize multiple tasks, set goals, and meet deadlines in a fast-paced, globally distributed environment.
Excellent communication skills with a demonstrable ability to present and grasp complex concepts in a multicultural, cross-regional environment.
Knowledge of regional exchange microstructure and regulatory regimes.
Prior experience in managing small teams is a plus.
Education
Bachelor's degree / University degree in Computer Science, Engineering, or a related field, or equivalent professional experience.