- Implement algorithmic trading strategies and related software infrastructure, including data handling, backtesting, unit and integration tests, monitoring software, reporting, etc.
- Supervise deployment to production using Docker and AWS, help debug, maintain and improve deployed systems
- Identifying, prioritizing, and executing tasks in the software development lifecycle
- Developing reliable applications with high-quality design and clean and efficient coding
- Determine the cause of complex software issues and develop practical technical solutions
- Communicating with teams to identify software requirements and constraints
- Supervise software deployment and monitoring, help maintain and improve deployed systems
- Minimum 5 years of professional coding experience
- Very strong Python capability, including concurrency, database access, logging, unit testing
- Strong fundamentals in C/C++ in Linux environment, ability to use C++ compilers, debuggers, profilers
- Strong understanding of computer systems, operating systems, networks, and performance optimization.
- Experience in multi-threaded programming
- Experience building and operating cross-platform multi-threaded applications
- Experience in developing low latency systems.
- Some experience with trading or execution systems or a desire to put in the work to learn about them.
- General programming skills, analytical thinking, and problem-solving
- Broad experience designing, programming, and implementing complex software systems
- Ability to navigate basic templated C++ code, low-level C code, basic networking, and threading in C/C++
- Understanding of Git, SSH, AWS EC2, S3, SQL, Mongo, and Docker
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Lead Software Engineer - Canada - THINKalpha
1 week ago
Description
Position : Senior Software Engineer - Backend / Trading Infrastructure
Location : 100% Remote (working timezone: US/Central)
ThinkAlpha is looking for a Lead Software Engineer to work in the core infrastructure team for a systematic trading engine . You'll be working directly on machine-learning-based trading algorithms, building an extremely scalable and responsive backtesting engine for testing trading strategies on historical data, building systems that deliver data for thousands of traders, and helping build live trading systems for billions of dollars of daily trading.
Ideal candidates want to build sustainable code, build systems that are resilient and well tested, and want to work with a group of people that hold each other to high standards.
Responsibilities :
Qualifications:
