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Two Sigma

Quantitative finance firm building predictive models

Infrastructure Engineer - Linux

Platform EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 1 year of experience; 1–5 years is preferred working in a Linux systems, software, or reliability engineering capacity.
  • Experience running and configuring large-scale Linux environments with hundreds to thousands of servers.
  • Programming experience in Python, Go, or a similar programming language.
  • Understanding of system design principles, including distributed systems architecture and networking fundamentals such as TCP/IP, DNS, and firewalls.
  • Deep knowledge of Linux internals, including the scheduler, memory management, and network stack.
  • Experience with low-latency tuning techniques such as busy polling, huge pages, real-time kernels, and isolcpus.

Responsibilities

  • Improve and manage the Linux platform, focusing on performance improvements and reducing operational complexity.
  • Develop automation to maintain the Linux environment.
  • Solve sophisticated issues across the stack, from kernel-level problems to application performance.
  • Lead the full lifecycle of Linux systems, including certification of new hardware, image creation, installation, upgrades, and overall lifecycle management.

Desired Qualifications

  • Familiarity with kernel bypass networking, FPGA integration, or direct market access connectivity is highly desirable.
  • Experience with containers, Kubernetes, and/or C to help compile and troubleshoot kernel issues is a plus.

About the Company

Two Sigma

Quantitative finance firm building predictive models

Two Sigma is a financial sciences firm that uses data analysis, rigorous inquiry, and invention to tackle complex problems in investment management, securities, private equity, insurance technology, and venture capital. Its product approach centers on building sophisticated predictive models powered by extraordinary computing power and vast data. Modelers and engineers test ideas with information and iterative improvement to drive progress. Compared with many peers, Two Sigma differentiates itself through a data-driven, model-centric investment process that relies on large-scale computing and extensive datasets rather than relying on traditional methods alone. The company aims to solve the toughest challenges in its fields and advance investment outcomes by continuously refining predictive models through experimentation.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$378.2M
Headquarters
New York City, New York
Founded
2001

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