Performance Engineer: Optimize Microseconds in Trading

Supergrads

Amsterdam

Vor Ort

EUR 90.000 - 130.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Supergrads in Amsterdam is seeking a technically curious Performance Engineer to join a team focused on understanding and improving the performance of highly complex electronic trading environments.

You will investigate how trading and exchange infrastructure behaves in real-world conditions, identify sources of latency and inefficiency, and develop practical solutions that can deliver a measurable performance advantage.

Qualifikationen

  • Advanced professional experience with Python and Networks or Linux is a must-have for this role.
  • Strong knowledge of computer architecture, networking and/or Linux, with expertise in at least two areas.
  • Experience applying reverse engineering or black-box analysis to complex technical systems.
  • A data-driven mindset with an interest in experimentation to answer difficult questions.

Aufgaben

  • Investigating complex systems using black-box analysis and structured experiments to identify performance improvements.
  • Data-driven research with large data sets to uncover patterns and root causes.
  • Performance optimization across the technology stack to reduce latency and improve efficiency.
  • Build and test lightweight prototypes and proofs-of-concept before moving to implementation.
  • Collaborate with traders, software engineers, hardware specialists and infrastructure teams to apply findings.
  • Analyze network behavior with large datasets, developing statistical analyses and experiments.
  • Take ownership from question through analysis, experimentation and recommendations.

Kenntnisse

Python for data analysis
Networking
Linux
Black-box analysis
Reverse engineering
Analytical mindset
Independent problem solving
Collaboration
Computer architecture

Jobbeschreibung

Supergrads in Amsterdam is seeking a technically curious Performance Engineer to join a team focused on understanding and improving the performance of highly complex electronic trading environments.

You will investigate how trading and exchange infrastructure behaves in real-world conditions, identify sources of latency and inefficiency, and develop practical solutions that can deliver a measurable performance advantage.

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