KDB Lead Developer

EPAM Systems; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

EPAM Systems in Bengaluru seeks a KDB Lead Developer to join the front-office technology team, focusing on time-series analytics and low-latency data solutions for trading and HFT projects.

You will work with quants, traders and technologists to design, optimize and deploy robust analytics platforms, dashboards and diagnostics, ensuring scalable performance across market data pipelines.

Qualifications

• 8–12 years of KDB+/Q experience in a financial or trading environment.
• Strong understanding of Level 1/2 market data, order book dynamics, trades and quotes.
• Experience integrating KDB with Python/Java/Kafka and REST APIs.
• Excellent problem-solving and communication skills; proactive mindset.

Responsibilities

• Design, develop and maintain KDB+/q analytics platforms for time-series data.
• Optimize queries and real-time analytics pipelines for performance and scalability.
• Collaborate with quants, traders and technologists to deliver metrics and diagnostics tools.
• Integrate KDB systems with market data feeds, OMS and trading platforms.
• Build dashboards and monitoring tools for algorithm performance and market behavior.
• Maintain large tick data stores with data hygiene and lifecycle management.
• Collaborate with DevOps to ensure system reliability and uptime.

Skills

KDB+/Q

Time-series analytics

Performance tuning

Python/Java/Kafka

REST APIs

Low-latency systems

Cross-functional collaboration

Tools

Dash

Grafana

Kafka

Job description

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