KDB Lead Developer

EPAM Systems; India; On-site; INR 6,666,667 - 9,523,810; Full time

Job summary

EPAM Systems is looking for a KDB Lead Developer to enhance our front-office technology team focused on algorithmic and high-frequency trading initiatives. This role involves developing and optimizing time-series analytics systems and working closely with quants and traders to deliver low-latency solutions for market data analysis.

The ideal candidate will have 8-12 years of KDB+/q experience in a financial environment, a deep understanding of market data, and excellent problem-solving capabilities. Join us to play a key role in shaping our trading technology.

Qualifications

• 8-12 years of professional experience 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.
• Proficiency in integrating KDB with Python, Java or Kafka and REST APIs.

Responsibilities

• Design, develop and maintain KDB+/q-based data capture, analytics and visualization platforms.
• Optimize time-series data queries and real-time analytics pipelines.
• Integrate KDB systems with market data feeds and trading platforms.

Skills

KDB+/q

Time-series data structures

Algorithmic trading concepts

Problem-solving skills

Communication skills

Tools

Python

Java

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

Qualifications

• 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