KDB Lead Developer

EPAM Systems; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EPAM Systems in India is seeking a KDB Lead Developer to join our front-office technology team, supporting algorithmic trading and high-frequency trading initiatives. You will design and optimize time-series analytics systems for market data analysis and strategy performance.

The role emphasizes low-latency, scalable data capture and analytics, integration with market data feeds, ordering systems, and trading platforms, plus dashboards and diagnostics for performance monitoring.

Qualifications

• 8-12 years of professional experience developing with KDB+/q in financial/trading environments.
• Solid understanding of market data (Level 1/2, trades, quotes).
• Experience with VWAP, TWAP, arrival price, slippage and market impact concepts.
• Strong time-series data structures, analytics and performance tuning.
• Proficiency in Python, Java or Kafka and REST APIs integration with KDB.
• Excellent problem-solving and proactive, detail-oriented mindset.
• Effective communicator across business and technical teams.

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.

Skills

KDB+/q

Time-series analytics

Low-latency systems

Python

Java

Kafka

REST APIs

Tools

Python

Java

Kafka

REST APIs

Job description

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