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Lead Software Engineer – (KDB+/q)

6 years

0 Lacs

mumbai metropolitan region

Posted:3 weeks ago| Platform: Linkedin logo

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Skills Required

software technology trading analytics frequency strategies latency analyze visualize data strategy design capture visualization metrics diagnostics management monitoring normalization devops reliability python java kafka rest

Work Mode

On-site

Job Type

Full Time

Job Description

KDB+/q Developer

 

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

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