Production Engineer - Ultra-Low Latency Trading

Two Sigma

New York (NY)

On-site

USD 120,000 - 180,000

Full time

7 days ago
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Job summary

Two Sigma is seeking a Reliability Engineer to build and sustain ultra-low latency automation systems for a global multi-asset trading platform. You will deploy features, improve monitoring, and sharpen crisis response for intraday transactions across three continents.

The role requires 1–5 years in production reliability, a BS in a relevant field, and strong coding skills in Python/Java/C++. You will work with diverse teams to raise engineering standards and drive automated solutions.

Qualifications

  • 1–5 years in Production or Reliability Engineering.
  • BS in a relevant discipline is required.
  • Strong programming in Python/Java/C++ and OO design.
  • Experience automating processes with an algorithmic approach.
  • Ability to profile and debug applications in real time.

Responsibilities

  • Develop and maintain scalable, ultra-low latency systems focused on automation, including deploying new features and fixes for a global multi-asset electronic trading business.
  • Enhance real-time monitoring and refine incident and crisis management SLOs, diagnosing and resolving issues with intraday transactions.
  • Design and implement architecture and support for the proprietary trading environment, including system design consulting, platform management, capacity planning, tools development, network, colocation site management, and vendor/exchange connectivity across three continents.
  • Collaborate with software and infrastructure teams to define and improve technical and operational best practices.

Skills

Python
Java
C++
Automation
Profiling

Education

BS in a relevant discipline

Job description

Two Sigma is seeking a Reliability Engineer to build and sustain ultra-low latency automation systems for a global multi-asset trading platform. You will deploy features, improve monitoring, and sharpen crisis response for intraday transactions across three continents.

The role requires 1–5 years in production reliability, a BS in a relevant field, and strong coding skills in Python/Java/C++. You will work with diverse teams to raise engineering standards and drive automated solutions.

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