Responsibilities:
• Develop and enhance infrastructure based on KDB+ and Python
• Focus on low-latency ingestion, fast querying, and high availability
• Enable integrations with Java, C#, and Python through native query support
• Build tools to support:
• Data acquisition and ingestion
• Data quality management
• Production support across various asset classes and data frequencies
• Design and implement modular, microservice-based components
• Manage and support billions of daily records and analytics queries
• Contribute to the platform’s architectural evolution by incorporating modern distributed technologies alongside KDB+

Requirements:
• Proven experience with KDB+/q development
• Strong scripting skills in Python
• Familiarity with distributed messaging/data platforms such as Kafka and Snowflake
• Understanding of:
• High-frequency, high-volume trading systems
• Low-latency data architectures
• Experience developing:
• Data ingestion pipelines
• Data validation and quality checks
• Operational and production support tools
• Ability to work collaboratively in a diverse, data-focused engineering team

Advantages:
• Integration experience with Java, C#, or other technologies alongside KDB+
• Familiarity with microservices architecture and component-based data systems
• Exposure to multi-asset class trading environments