Role: KDB Developer
Location: Jersey City, NJ / Onsite
Employment Type: W2 Contract
Required Qualifications and 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.
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.