KDB Engineer/Q Developer

Aneka Talent Solutions is seeking a Senior KDB+/Q Developer to join a high-performing global engineering team. This role involves designing, developing, and supporting large-scale market data and time-series analytics platforms, while collaborating with business stakeholders and engineering teams.

Responsibilities:

• Design, develop, and maintain large-scale KDB+/Q applications supporting enterprise market data, trading, research, and quantitative analytics platforms
• Architect scalable KDB+ infrastructure capable of processing high-volume real-time and historical time-series data with low latency and high availability
• Design efficient database schemas, partitioning strategies, data models, and query optimization techniques to maximize system performance
• Develop robust data ingestion frameworks for streaming and batch market data from multiple internal and external sources
• Optimize KDB+/Q applications for performance, memory utilization, throughput, and scalability across distributed environments
• Collaborate with quantitative researchers, traders, Portfolio Managers, and technology teams to translate business requirements into scalable technical solutions
• Build reusable libraries, utilities, and frameworks that improve developer productivity and promote engineering best practices
• Participate in system architecture, code reviews, design discussions, production deployments, and ongoing platform enhancements
• Troubleshoot production issues, perform root cause analysis, and implement long-term solutions to improve platform stability and reliability
• Work closely with global engineering teams to ensure consistent architecture, coding standards, and operational excellence across regions
• Contribute throughout the full Software Development Life Cycle (SDLC), including requirements gathering, design, development, testing, deployment, and production support
• Mentor junior engineers and provide technical leadership on complex engineering initiatives

Requirements:

• 15+ years of professional software engineering experience with extensive hands-on expertise in KDB+/Q
• Proven experience designing, building, and supporting large-scale KDB+ systems and distributed time-series database infrastructure
• Deep understanding of Computer Science fundamentals, including data structures, algorithms, concurrency, distributed systems, and software design principles
• Strong experience developing high-performance applications in Unix/Linux environments
• Experience building scalable market data platforms supporting real-time and historical data processing
• Strong understanding of database optimization, memory management, partitioning strategies, and query performance tuning
• Experience working across the complete SDLC using modern software engineering practices
• Excellent communication skills with the ability to collaborate directly with business users, quantitative teams, and global engineering organizations
• Ability to translate complex business requirements into scalable technical solutions
• Must be available during local business hours to support regional trading operations
• Experience supporting global Equities and Futures trading businesses
• Strong understanding of algorithmic trading, electronic trading platforms, and quantitative research workflows
• Experience working with market data feeds such as Bloomberg, Refinitiv, ICE, or exchange-native market data
• Experience building low-latency, high-throughput trading and market data systems
• Familiarity with Python, Java, or C++ for integration with KDB+/Q platforms
• Experience with cloud technologies, distributed computing, CI/CD pipelines, and modern DevOps practices
• Prior experience within a hedge fund, proprietary trading firm, investment bank, or quantitative trading environment is highly desirable