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Kronos Research
Senior Software Engineer, Python/Go (Data+Backend)
7 months ago | 356 views | Be the first one to apply

Senior Software Engineer, Python/Go (Data+Backend)


About the company

Kronos Research stands at the forefront of proprietary trading, elevating trading performance through its profound expertise in quantitative research. Driven by a fusion of rigorous research methodologies and advanced machine-learning techniques, we are revolutionizing the way trading is approached. We have 4 main business pillars, i.e. (i) High-Frequency Trading (HFT), particularly in the dynamic landscape of cryptocurrency trading, (ii) market-making, providing the best liquidity across CeFi and DeFi solutions, (iii) asset management services for institutions and brokers covering a wide range of asset classes, and (iv) ventures, identifying high growth potential projects to invest in, provide expertise and drive returns.

Job Summary


📍Design, build, and maintain all domain-related data pipelines & data warehouses and optimize existing pipelines 📍Develop solutions to easily import and integrate data from 3rd party data vendors and exchange private endpoints into our existing data inventory 📍Deploy and manage the daily operation of our market data loggers and ensure data is stored efficiently and securely across cloud and on-premise solutions (S3/NAS/DFS) 📍Work closely with the Infra team and quant researchers to understand data needs. Set up and maintain data pipelines that prepare raw market data for machine learning research and simulations 📍Design and develop tools and interfaces that improve quality, integrity, and availability for all of our data


📍Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or related field 📍5+ years of relevant industry experience 📍Excellent problem-solving and analytical skills, with a focus on identifying and addressing complex data engineering challenges 📍Strong experience in designing and developing scalable cloud-native software solutions, utilizing cloud technologies (e.g., AWS, Azure, GCP) for data storage, processing, and analytics 📍Proven track record in constructing large-scale systems and data processing pipelines 📍Strong written and verbal communication skills 📍English resume acceptable only

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