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Join to apply for the Algorithmic Trading Engineer role at Kbit
Description
We're seeking an Algorithmic Trading Engineer to ensure the reliability, performance, and scalability of our high-frequency cryptocurrency trading systems. You'll focus on system health, performance monitoring, issue resolution, and process automation. We offer a competitive base salary with a quarterly cash profit share.
Department: Development Team
Location: Remote
Description
We're seeking an Algorithmic Trading Engineer to ensure the reliability, performance, and scalability of our high-frequency cryptocurrency trading systems. You'll focus on system health, performance monitoring, issue resolution, and process automation. We offer a competitive base salary with a quarterly cash profit share.
About You
- Passionate about maintaining high-performance, mission-critical systems
- Excited by the challenges of a 24/7 trading environment
- Detail-oriented with a proactive approach to problem-solving
- Comfortable with a flexible schedule, including evenings or weekends when necessary
Sample Projects
- Performance Optimization: Implement advanced monitoring and profiling tools for Python and C++ codebases to identify and eliminate bottlenecks
- Reliability Engineering:
- Develop and maintain service level objectives (SLOs) for cryptocurrency trading operations
- Implement circuit breakers and automated failover mechanisms
- Design robust error budgets accounting for 24/7 cryptocurrency markets
- Incident Management: Conduct thorough postmortems after trading anomalies or system issues, focusing on technical and financial impacts
- Data Integrity: Ensure reliability and consistency of data flows between trading systems, databases, and analytics platforms
Key Responsibilities
- Monitor and maintain trading system health for optimal performance
- Identify, triage, and resolve issues in real-time
- Develop automation scripts and tools to streamline operations
- Participate in follow-the-sun on-call rotations
- Implement and maintain monitoring and alerting systems
- Conduct root cause analysis and implement preventive measures
- Optimize trading system performance through analysis and tuning
- Maintain documentation for operational procedures and system architecture
- Assist in planning and scaling trading infrastructure
Required Skills
- Bachelor's degree in Computer Science, Software Engineering, or related field
- Experience in financial trading systems or high-frequency environments
- Strong proficiency in Python for scripting and automation
- Linux systems administration in production environments
- Network protocols and troubleshooting techniques
- Familiarity with SQL/NoSQL databases and real-time data processing
- Experience with monitoring tools (e.g., Prometheus, Grafana)
- Analyzing and troubleshooting trading logs
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration abilities
- Self-motivated and intellectually curious
Desired Qualities
- Understanding of cryptocurrency markets and trading dynamics
- Experience with centralized cryptocurrency exchange APIs
- Experience with AWS
- Containerization technologies (e.g., Docker) in trading environments
- Database performance tuning
- Log analysis and automated alert response systems
- Financial risk management principles applied to trading systems
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
Seniority level
Seniority level
Mid-Senior level
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Engineering and Information TechnologyIndustries
Investment Management
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