KDB Lead Developer

We are looking for a KDB Lead Developer to join our front-office technology team, supporting algorithmic trading and high-frequency trading (HFT) initiatives. This role focuses on developing and optimizing time-series analytics systems, collaborating with quants, traders and technologists to deliver robust, low-latency solutions for market data analysis and strategy performance. Responsibilities Design, develop and maintain KDB+/q-based data capture, analytics and visualization platforms Optimize time-series data queries and real-time analytics pipelines for performance and scalability Work with quantitative researchers and algo developers to deliver high-performance metrics and diagnostics tools Integrate KDB systems with market data feeds, order management systems and trading platforms Build dashboards and monitoring tools for algorithm performance and market behavior Maintain large-scale tick data stores including data hygiene, normalization and lifecycle management Collaborate with DevOps and Infrastructure teams to ensure system reliability and uptime Requirements 8-12 years of professional experience developing with KDB+/q in a financial or trading environment Solid understanding of market data such as Level 1/2, order book dynamics, trades and quotes Familiarity with algorithmic trading concepts including VWAP, TWAP, arrival price, slippage and market impact Strong background in time-series data structures, analytics and performance tuning Proficiency in integrating KDB with Python, Java or Kafka and REST APIs Excellent problem-solving skills and a proactive detail-oriented mindset Effective communicator able to collaborate across business and technical teams Nice to have Experience with real-time market data capture and event processing Knowledge of equities, FX, futures or fixed income trading workflows Familiarity with data visualization tools such as Dash, Grafana or custom q dashboards Experience working in low-latency high-throughput environments India Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)