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Urgent! High-Performance Trading Systems Architect Job Opening In Dubai – Now Hiring beBeeSoftware

High Performance Trading Systems Architect



Job description

Quantitative Developer, Systematic Equities

We are seeking a highly skilled and entrepreneurial Lead Software Engineer to drive the development of high-performance trading systems for systematic strategies operating across global markets and time zones.

You will lead the design and deployment of systems that support the execution of complex quantitative strategies - you'll collaborate directly with research teams to turn ideas into production-ready solutions.

This is a unique opportunity to own the technology stack from day one, influence strategic direction, and help shape a high-performance team in a collaborative and intellectually rigorous environment.

Key Responsibilities:

  • Design and maintain the trading system architecture, including components for data ingestion, signal generation, backtesting, execution, and risk management
  • Make decisions on technology stack, performance optimization, and scalability
  • Ensure the system supports reasonable latency, high-throughput, and fault-tolerant trading

Team Leadership & Collaboration:

  • Help recruit and lead a small team of developers (sometimes quants as well) within the pod
  • Work closely with the quant researchers and traders to understand strategy requirements and translate them into code

Strategy Implementation Support:

  • Build and maintain research infrastructure (e.g., backtesting frameworks, simulation environments, feature stores)
  • Translate researchers' prototypes (e.g., in Python) into production grade code, often in C++, or C# for latency-sensitive components

Execution & Infrastructure:

  • Optimize and support order execution systems, integrating with various exchanges or broker APIs
  • Implement real-time risk checks, monitoring, logging, and alerting tools

Data Engineering & Management:

  • Oversee the pipeline for ingesting, cleaning, and storing data (market, alternative, internal)
  • Ensure data integrity and low-latency access for trading and research

DevOps & Reliability:

  • Often take responsibility for deployment pipelines, version control, and production support
  • Ensure high system availability and rapid recovery in case of failures

Security & Compliance:

  • Make sure that the infrastructure adheres to firm-wide compliance and security standards
  • Ensure rigorous version control, code quality, and documentation standards

Requirements:

  • 1st class Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field
  • Fluency in C++ or C# for performance-critical systems
  • Proficiency in Python, especially for scripting, research integration, and data tools
  • Solid understanding of algorithms, data structures, and multithreaded / concurrent programming
  • Strong knowledge of SQL and modern database design (e.g., column stores, time-series DBs)
  • Familiarity with software engineering best practices: version control (Git), unit testing, CI / CD, logging, monitoring, etc.

Experience:

  • 3+ years of hands-on experience designing, building, and maintaining high-performance trading systems, ideally in a systematic equities or quant trading environment
  • Proven experience in: Handling large-scale market data (e.g., normalization, feed handling, replay systems)
  • Order routing and exchange connectivity, including FIX protocols and direct market access (DMA)
  • Building event-driven architectures and real-time systems with tight SLAs

Desirable Qualities:

  • Excellent communication skills - able to interface directly with quant researchers and traders, translate requirements, and explain technical decisions
  • Demonstrated initiative and ownership : able to drive projects independently, while collaborating effectively in a team setting
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