Data Leader

C++ Engineer - Market Data

Ho Chi Minh, Ha Noi - Viet Nam

Product

• C/C++

Maintain/enhance our legacy C++-based tick data processing platform as needed, demonstrating product ownership, and helping migrate datasets to our new tick data processing platform. Contribute to our new, modern C++-based tick data processing platform - enhancing the platform to support additional tick data feeds across asset classes, developing/reviewing the implementation of tick data-based interval features/statistics, and adding new functionality to the platform all while maintaining high software standards and best practices. Collaborate with the Research and Portfolio Management organizations to facilitate the transition from our legacy platform to our new platform, supporting their price volume data needs for signal generation.

Negotiation

Senior System Software Engineer - AI Data Platform - Inference Factory

Ho Chi Minh - Viet Nam

Product

• Devops
• C/C++
• Python
• Golang

Create infrastructure and tools to automate complex software processes effectively. Improve performance: Deploy advanced test harnesses, benchmarking frameworks, and analytical tools to thoroughly evaluate and enhance the performance and efficiency of software and hardware platforms. Utilize expertise in operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to construct and troubleshoot high-performance systems. Collaborate with engineering teams to comprehend requirements and deliver efficient solutions. Establish performance objectives, assess feedback, analyze data, and continually enhance system reliability. Shape technical strategies: Contribute to developing technical strategies and roadmaps for platform automation initiatives to ensure they are in line with company goals and industry best practices.

Negotiation

Featured Job

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Outsource

• Data Engineering
• Management

Design, create, and maintain scalable data infrastructure, which includes data lakes, pipelines, and metadata repositories, to ensure accurate and timely delivery of data to stakeholders. Collaborate with data scientists to develop and maintain data models, integrate data sources, and facilitate machine learning workflows and experimentation environments. Build and enhance large-scale, batch, and real-time data processing systems to improve operational efficiency and align with business goals. Use Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services like S3, Glue, EC2, and Lambda to manage data storage and compute resources, striving for high performance, scalability, and cost-effectiveness. Implement comprehensive testing and validation methods to guarantee the reliability, accuracy, and security of data processing workflows. Keep updated on the latest industry best practices and emerging technologies in data engineering and data science to suggest innovative solutions and enhancements.

Negotiation