Kronos Research is hiring Web3 Web3 Software Engineer, Python/Go (Data+Backend)
Web3 Software Engineer, Python/Go (Data+Backend)
Experience
Minimum 1 Year
Employee type
Full Time
Position
Senior
Offer Salary
$20,000 - $100,000
Desired Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or related field
- 2-5 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
Duties & Responsibilities
- 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
Other
Interview Process
- Coding assessment (via Codility)
- Manager & HR interview
- Technical interview
Job Description We are currently looking for a junior to mid-level software engineer to join us as a Software Engineer to take over and improve upon our existing data pipelines. As a Software Engineer at Kronos, you will have the opportunity to learn about how data drives success in the heart of the quantitative trading industry.Successful candidates should have experience in constructing large-scale systems and data processing pipelines, utilizing both on-premise and cloud-based technologies.
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