Trading Engineer IMC Trading · Aarhus, Denmark 4 hours ago

Tradermath

Aarhus

Híbrido

DKK 700 000 - 1 100 000

Tempo integral

Há 10 dias
Gerador de candidaturas

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Resumo da oferta

IMC is a research-driven trading firm where technology underpins every decision. The Trading Engineering team ensures safe, frequent releases, high availability, and low-latency data flow for trading strategies.

You will work with traders and a broad tech group to build sustainable solutions and improve performance across the stack. We seek a hands-on SRE/DevOps professional with Python and Bash skills, Kubernetes experience, and a proactive learning mindset to tackle production incidents and

Qualificações

  • 2+ years of experience as an SRE, System Engineer, DevOps Engineer or MLOps Engineer.
  • Proficient in Python and Bash scripting.
  • Experience with Kubernetes and Linux operating systems.
  • Experience building/maintaining ML pipelines is a plus.
  • Database querying and basic TCP/IP knowledge.
  • Strong troubleshooting, communication, and proactive learning skills.

Responsabilidades

  • Troubleshoot production issues and identify root causes for long-term fixes.
  • Reduce downtime by adopting open source technologies and translating requests into concrete requirements.
  • Coordinate and plan changes to trading software to ensure quick time-to-market for new features.
  • Collaborate with traders and researchers alongside developers, systems/network/performance engineers to support a high-volume, low-latency trading environment.

Conhecimentos

SRE/DevOps
Python
Bash scripting
Kubernetes
Linux
ML pipelines
Database querying
TCP/IP basics
Troubleshooting
Communication
Proactive learning

Descrição da oferta de emprego

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in-house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition.

Our Trading Engineering team plays a critical role at the heart of our complex environment. Making sure that we can release daily in a safe and controlled manner is a vital responsibility, as well as ensuring high availability, stability and performance. The team works closely with traders 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.

Your Core Responsibilities:
  • 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, prioritise 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.
Your Skills and Experience:
  • 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 building and maintaining Machine Learning pipelines is a plus
  • 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
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.

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