KDB Lead Developer

Epam Systems; Hyderabad, Chennai District, Coimbatore District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Real-time data capture

Trading workflows

Dash/Grafana dashboards

Low-latency environments

Job summary

Epam Systems is seeking a KDB Lead Developer to join our front-office technology team in Hyderabad. You will design, optimize, and maintain KDB+/Q-based time-series analytics systems that support algorithmic trading and HFT initiatives.

You will collaborate with quants, traders, and technologists to deliver robust, low-latency market data analytics, dashboards, and diagnostics tooling, ensuring reliable uptime across data feeds and trading platforms.

Qualifications

• 8–12 years of professional experience developing with KDB+/Q in a financial/trading environment.
• Solid understanding of market data (Level 1/2, order book dynamics, trades and quotes).
• Familiarity with algo trading concepts (VWAP, TWAP, arrival price, slippage, market impact).

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.
• Collaborate with quants, traders and technologists 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.

Skills

KDB+/Q

Time-series analytics

Python

Java

Kafka

REST APIs

Tools

Dash Grafana

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

Location - Hyderabad, Chennai, Coimbatore, Bangalore, Pune, Gurgaon