KDB Developer

Luxoft; Gurugram District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Luxoft is seeking a highly skilled KDB+/q Developer to join a global financial markets project. You will design, develop, and optimize high-performance time-series data systems using kdb+/q, with hands-on exposure to the Front-to-Back Trade Lifecycle and Trade Surveillance platforms.

You will contribute to architecture, performance tuning, and scalable data pipelines while mentoring junior team members and promoting engineering best practices in a fast-paced Agile environment.

Qualifications

• 6+ years of hands-on q and KDB+ development
• Experience with large-scale time-series data platforms
• Strong knowledge of Tick Architecture, RDB/HDB
• Experience in Front-to-Back Trade Lifecycle and Trade Surveillance
• Proficient in Linux/Unix and performance tuning

Responsibilities

• Design, develop, and maintain high-performance kdb+/q applications.
• Build and optimize time-series databases for large-scale data.
• Develop and enhance Tick Architecture with real-time ingestion and analytics.
• Design end-to-end data pipelines: ingestion, transformation, storage, analytics.
• Work across the Front-to-Back Trade Lifecycle including trade capture, validation, risk, and post-trade.
• Contribute to Trade Surveillance solutions, alerts, and compliance workflows.
• Optimize RDB/HDB performance and data storage strategies.
• Collaborate with stakeholders, quantitative and technology teams to deliver scalable solutions.
• Conduct code reviews and mentor junior developers.
• Promote engineering best practices and architectural guidance.

Skills

KDB+/q development

Time-series databases

Linux/Unix

Trade lifecycle knowledge

Performance tuning

Trade surveillance knowledge

Architecture design

Mentoring juniors

Agile environment

Data streaming analytics

Job description

Project description

We are looking for a highly skilled KDB+/q (KX) Developer to join a global financial markets project. You need to have strong expertise in designing, developing, and optimizing high-performance time-series data systems using kdb+/q. The role requires hands-on experience across the Front-to-Back Trade Lifecycle and exposure to Trade Surveillance platforms. You will contribute to the architecture, development, and optimization of scalable market data and surveillance solutions while mentoring junior team members and promoting engineering best practices.

Responsibilities

• Design, develop, and maintain high-performance applications using kdb+/q.
• Build and optimize time-series databases for large-scale financial market data.
• Develop and enhance Tick Architecture, including real-time data ingestion and streaming analytics.
• Design end-to-end data ingestion, transformation, storage, and analytics pipelines.
• Work across the Front-to-Back Trade Lifecycle, including trade capture, enrichment, validation, risk, and post-trade processing.
• Contribute to the design and implementation of Trade Surveillance solutions, including market abuse detection, alert generation, and compliance-driven workflows.
• Optimize RDB/HDB performance, query execution, and data storage strategies.
• Collaborate with business stakeholders, quantitative teams, and technology teams to deliver scalable solutions.
• Conduct code reviews, establish development standards, and mentor junior developers.
• Drive technical excellence through architectural guidance and development best practices.

SKILLS

Must have

• 6+ years of hands-on experience in q and KDB+ development, including architecture and optimization of large-scale time-series data platforms.
• Strong hands-on experience with kdb+/q (KX) development.
• Deep understanding of kdb+ Tick Architecture, RDB/HDB, and streaming analytics.
• Experience designing and optimizing high-performance time-series database solutions.
• Strong knowledge of financial markets and the Front-to-Back Trade Lifecycle.
• Experience with performance tuning, query optimization, and scalable data processing.
• Experience working in Linux/Unix environments.
• Ability to design end-to-end data ingestion, transformation, and analytics pipelines.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Ability to work effectively in a fast-paced Agile environment.
• Experience conducting code reviews and mentoring junior developers.
• Proactive mindset with strong ownership, accountability, and attention to detail.

Nice to have

• Experience with Trade Surveillance platforms.
• Knowledge of market abuse detection, alert generation, and compliance-driven workflows.
• Exposure to rules-based and model-driven surveillance systems.
• Experience working in Investment Banking or Capital Markets.
• Familiarity with cloud platforms and distributed data processing technologies.