Roles and Responsibilities

• Developing core systems and frameworks based on KDB+ technology.
• Building scalable real-time processing solutions using agile methodologies.
• Storing large amounts of cross-asset market data (e.g., equities, fixed income, FX) for real-time and historical access.
• Partnering with business stakeholders, including traders and quantitative analysts, to capture requirements and deliver solutions.
• Ensuring the operational stability, resiliency, and performance of KDB applications.
• Developing high-quality production code and participating in code reviews.
• Identifying opportunities for automation and improving the overall stability of software applications.
• Making KDB data accessible to cloud-native applications for research and AI purposes. 

Required Qualifications/Skills

• Deep understanding of KDB+ technology and the Q language. This is a hands-on role, and expertise in building large-scale platforms is often required.
• Experience with KDB+tick design and data organization, as well as the performance implications of different architectural approaches.
• Practical experience developing/running large datasets, optimizing query performance, and building resilient/high-availability KDB applications.
• Proficiency in the Software Development Lifecycle (SDLC) and advanced understanding of agile methodologies like CI/CD, application resiliency, and security.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Strong problem-solving skills and the ability to think creatively about solutions. 

Preferred Skills

• AWS Experience: Many positions mention current migration projects to AWS, so knowledge of AWS compute services and storage tiers is a plus.
• Programming Languages: Experience in other languages such as Python (including PyKX), Java, C, or C++ is often beneficial.
• Financial Markets Knowledge: Fundamental knowledge of electronic trading markets, from market data to order placement, is highly valued. 

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