Trading Engineer

Requirements:

  • 2+ years of experience as an SRE or System Engineer or DevOps Engineer or MLOps Engineer
  • Python and Bash scripting skills
  • Experience with Kubernetes
  • Solid understanding of the Linux Operating System
  • Experience with database querying
  • Basic understanding of TCP/IP protocols
  • A knack for troubleshooting
  • Strong interpersonal and communication skills
  • A proactive attitude and a strong drive to learn and develop yourself

What You'll Be Doing:

  • Troubleshooting and providing quick response to production issues but more importantly solving the root cause of problems in a structural way
  • Helping eliminate downtime using the latest open source technologies, translating trading requests into concrete technical requirements, and working with focus teams to create and implement new sustainable solutions
  • Coordinate, prioritize and plan the changes to our trading software to ensure smooth exchange migrations and quick time to market for new features and software
  • Working closely with traders and quantitative researchers and a wide range of technologists such as developers, systems engineers, network engineers and performance engineers in a diverse technical landscape. One where many components interface and manage a high-volume data flow over a low-latency infrastructure to execute our trading strategies

Nice to Haves:

  • Experience with building and maintaining Machine Learning pipelines is a plus

Perks and Benefits:

  • About Us: IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage
AI Summary ✨

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