We are seeking a talented Backend Data Engineer to join our Core Technology Team, where you'll specialize in Python development to create robust automation solutions for both trading and non-trading back-office operations. This role sits at the intersection of technology and finance, requiring you to build sophisticated automation systems, develop comprehensive reporting tools, and enhance operational efficiency across our trading platform and supporting infrastructure. As a key member of our Core Technology Team, you'll be responsible for streamlining complex workflows, automating manual processes, and delivering data-driven insights that enable our trading operations to scale effectively. You'll work closely with traders, operations staff, and other technology teams to identify automation opportunities and implement solutions that reduce operational overhead while maintaining the reliability and precision essential to our business.
Key Responsibilities
Reporting systems:
building both real-time and scheduled reporting tools for various stakeholders
Data integration:
connecting and consolidating data from multiple sources
Tooling development and maintenance
: building new automation tools and ensuring their reliability and continuous improvement
Collaborative problem-solving:
working with trading and technology teams to identify and implement new automation opportunities
Requirements
Advanced Python programming:
production-level experience programming in Python 3 and adherence to software development best practices
Testing proficiency
including unit testing, integration testing, and automated test frameworks
Database and data integration
experience working with company various SQL data sources and creating data pipelines
System automation skills
for building tools that streamline trading operations and deployment processes
Web framework experience
(Flask, FastAPI) for creating internal dashboards and tools
DevOps automation
background with CI/CD pipelines and deployment orchestration
Financial systems curiosity
with interest in understanding complex trading operations
Cloud platform exposure
(AWS, Azure, GCP) for scalable automation solutions
Highly motivated
with strong self-direction and problem-solving capabilities
Curious mindset
eager to understand the inner workings of complex trading systems
Detail-oriented
with appreciation for accuracy in financial and operational contexts
Benefits
We offer a competitive base salary along with a quarterly cash profit share to reward performance.
Innovation-Driven Culture: Be part of a team that embraces cutting-edge technology and continuous improvement.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Environment: Work with talented professionals in a supportive and inclusive setting.
Competitive Compensation: Attractive salary and benefits package.
Our Commitment:Work with cutting-edge technologies in cryptocurrency trading
Develop expertise in maintaining high-frequency trading systems
Collaborate with talented engineers and traders
Continuous learning through challenging projects and professional development
About Kbit
Kbit is a leading cryptocurrency-focused investment manager with over $200 million in assets under management and a 7-year track record. We specialize in market-neutral, quantitative strategies that capture market structure inefficiencies including market making, arbitrage, derivative trading, and forecasting.
Our market-neutral approach and diverse sources of alpha have allowed us to navigate various market regimes. Since inception in 2017, we have transacted over $180 billion in the cryptocurrency markets. We have built and operate our own proprietary, distributed technology platform that connects with the major crypto exchanges, processes market data, streams orders, and processes trades 24/7/365. On a typical day, we place tens of millions of orders, execute hundreds of thousands of trades, and perform thousands of blockchain fund movements.
Our team of 15 professionals brings together expertise in quantitative trading, computer science, cryptocurrency market structure, finance, and operations.
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