Site Reliability Engineer

LIFT International
London
8 months ago
Applications closed

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In the fast-paced world of trading, technology is at the forefront of driving success. This innovative organisation develops proprietary software that executes millions of trading decisions each day, ensuring they outperform the competition by being both faster and more accurate.


The Trading Infrastructure Engineering team is integral to maintaining a robust and efficient trading environment. They ensure that software releases are conducted safely and consistently while guaranteeing high availability and optimal performance. This team collaborates closely with traders and a diverse array of tech professionals, including developers, systems engineers, network specialists, and performance engineers, in a multifaceted technical ecosystem. The environment involves managing high-volume data flows over a low-latency infrastructure to execute sophisticated trading strategies.


Key Responsibilities:


  • Rapidly troubleshoot and address production issues while implementing long-term solutions to prevent future occurrences.
  • Utilize cutting-edge open-source technologies to minimize downtime, translating trading demands into actionable technical specifications, and collaborate with specialized teams to design and deploy sustainable solutions.
  • Organize, prioritize, and strategize changes to trading software, ensuring seamless exchange migrations and swift rollout of new features.
  • Partner with traders, quantitative analysts, and various tech professionals to navigate a complex technical landscape, effectively managing high-volume data streams within a low-latency framework.


Qualifications:

  • Experience in roles related to Site Reliability Engineering (SRE), Systems Engineering, DevOps, or MLOps.
  • Strong proficiency in Python and Bash scripting; familiarity with other programming languages is a plus.
  • Essential knowledge of Kubernetes.
  • Deep understanding of the Linux operating system.
  • Experience in constructing and managing machine learning pipelines is a bonus.
  • Competent in querying databases.
  • Fundamental knowledge of TCP/IP protocols.
  • Excellent problem-solving skills.
  • Strong communication and interpersonal abilities.
  • A proactive approach with a strong eagerness for personal and professional growth.



If you’re ready to be part of a dynamic and innovative team that’s reshaping the trading landscape, we invite you to apply.


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