Lead Architect - C++ and Java - Vice President

Key Responsibilities

• Architecture, System Design & Core Engineering (Hands-on)
• Architect & Design: Lead the end-to-end technical architecture and low-level design for distributed, fault-tolerant, high-concurrency risk calculation and position management engines supporting global trading sessions.
• Hands-on Development: 10+ years of experience to actively write, review, and optimize high-performance, multi-threaded production code primarily in C++, with targeted high-performance/low-latency modules in Java and exploring Rust where ultra-low latency memory safety and deterministic execution are required.
• AI-Augmented Engineering: Champion the adoption of modern AI development workflows (e.g., GitHub Copilot, Devin, AI-driven code review, and automated test generation) to enhance developer productivity, modernize legacy components, and accelerate time-to-market.
• Middleware & Event Streams: Design resilient, low-latency, event-driven pipelines using enterprise messaging backbones such as Apache Kafka, Solace PubSub+, and other low-latency middleware fabrics.
• Relational Databases: Proficiency in SQL writing queries and improve efficiency
• Performance Tuning: Profile, benchmark, and optimize CPU usage, memory layout, network serialization, and IPC for low latency.
• Global Stakeholder Collaboration & Technical Advisory
• Key Technical Liaison: Act as a technical contact and subject matter expert (SME) for Risk Managers, Product Owners, Trading Desks, Quantitative Analysts, and Operations across APAC and global hubs.
• Global Team Alignment: Partner closely with regional and global engineering pods across Singapore, London, New York, and other tech centers to ensure seamless platform rollouts, operational stability, and cohesive architecture standards.
• Cross-Technology Coordination: Interface closely with upstream Order Management Systems (OMS), Execution Management Systems (EMS), Market Data feeds, and downstream Clearing/Settlement and Regulatory reporting platforms across multiple asset classes (FX, Equities, Rates, Commodities, Credit).
• Requirement Translation: Translate complex quantitative risk models, margin methodologies, and regional/global regulatory requirements into scalable, deterministic technical architecture
• Mentorship & Regional/Global Leadership
• Lead, coach, and mentor junior engineers in regional teams in distributed systems design, clean code practices, and modern AI-assisted engineering techniques.
• Lead architectural design reviews and rigorous peer code reviews to ensure reliability, security, and maintainability across distributed codebases.
• Partner with engineering managers and Scrum Masters across time zones on sprint planning, technical estimations, dependency resolution, and milestone delivery.
• Technical Proficiencies:
• Java: Practical experience or working knowledge of Java for performance-critical, memory-safe, or low-latency system components and cross-language interoperability
• C++: Proficiency in modern C++, memory management/profiling, lock-free data structures, concurrent programming, and low-latency tuning in Linux platforms.
• SQL: Hands-on experience writing SQL procedures, and practical knowledge of indexes
• Education:
• Bachelor’s degree / University degree in Computer Science, Computer Engineering, Software Engineering, or equivalent STEM discipline.
• Master’s degree (Desirable) in Computer Science, Financial Engineering, or related quantitative field
• Technology
• Applications Development
• Full time
• Please see the requirements listed above.
• For complementary skills, please see above and/or contact the recruiter.
• Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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Qualifications

• Bachelor’s degree / University degree in Computer Science, Computer Engineering, Software Engineering, or equivalent STEM discipline.