Low-Latency Trading Systems SRE Engineer

IMC

Aarhus

Sur place

DKK 520 000 - 900 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

IMC is seeking an experienced SRE/DevOps engineer to join our Trading Engineering team in Aarhus, Denmark. You will troubleshoot production issues, drive root-cause analysis, and implement sustainable, open-source solutions to minimize downtime.

You will coordinate changes to trading software with traders, researchers and engineers to ensure safe, fast time-to-market for new features in a high-volume, low-latency environment.

Qualifications

  • 2+ years as an SRE, System Engineer, DevOps or MLOps engineer.
  • Proficient in Python and Bash scripting.
  • Experience with Kubernetes and Linux OS.
  • Experience building ML pipelines is a plus.
  • Experience with database querying.
  • Basic understanding of TCP/IP protocols.
  • Strong troubleshooting skills.
  • Excellent communication and teamwork abilities.
  • A proactive attitude with a drive to learn and develop.

Responsabilités

  • Troubleshoot production issues and resolve root causes structurally.
  • Minimise downtime using open source technologies and translate requests into technical requirements.
  • Coordinate and plan changes to trading software for smooth migrations and faster time-to-market.
  • Collaborate with traders, researchers and a broad tech team across a high-volume, low-latency environment.

Connaissances

SRE
System Engineer
DevOps
MLOps
Python
Bash scripting
Kubernetes
Linux
ML pipelines
Database querying
TCP/IP
Troubleshooting
Interpersonal communication
Proactive learning

Outils

Kubernetes

Description du poste

IMC is seeking an experienced SRE/DevOps engineer to join our Trading Engineering team in Aarhus, Denmark. You will troubleshoot production issues, drive root-cause analysis, and implement sustainable, open-source solutions to minimize downtime.

You will coordinate changes to trading software with traders, researchers and engineers to ensure safe, fast time-to-market for new features in a high-volume, low-latency environment.

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