Lead Software Engineer – (KDB+/q)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a highly skilled KDB+/q Developer to join our front-office technology team supporting algorithmic trading. In this role, you will develop and optimize time-series analytics systems for high-frequency trading (HFT) and electronic execution strategies. You will work closely with quants, traders, and technologists to build robust, low-latency solutions that analyze and visualize market microstructure data, execution quality, 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

• 6-12 years of experience in software engineering
• 5+ years of professional experience developing with KDB+/q in a financial or trading environment
• Solid understanding of market data (e.g., Level 1/2, order book dynamics, trades, quotes)
• Familiarity with algorithmic trading concepts such as VWAP, TWAP, arrival price, slippage, and market impact
• Strong background in time-series data structures, analytics, and performance tuning
• Proficiency in integrating KDB with other languages/systems (e.g., Python, Java, Kafka, REST APIs)
• Excellent problem-solving skills and a proactive, detail-oriented mindset
• Effective communicator who is 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 (e.g., Dash, Grafana, custom q dashboards)
• Experience working in low-latency, high-throughput environments

We offer

• 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.)