Software Engineer (Hybrid): Build Low-Latency Trading Infra

Two Sigma

Houston (TX)

On-site

USD 100,000 - 160,000

Full time

8 days ago
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Benefits offered by this job

Medical & dental insurance
Competitive 401k match
Life & disability insurance
Onsite gym & wellness activities
Tuition reimbursement
Generous vacation & sick leave
Hybrid in-office policy

Job summary

Two Sigma, a leading quantitative investment management and trading firm, hires software engineers focused on building scalable infrastructure to support data-driven decision making and trading operations.

As an engineer, you will work across teams to develop reliable, high-performance systems, leveraging open-source and proprietary tools. This role offers opportunities to learn, contribute, and grow within a forward-looking organization.

Qualifications

  • Bachelor's, Master's, or PhD in a technical or quantitative field.
  • Experience with Java, C, C++, Python, Ruby, Perl, or other JVM-targeted languages.
  • Experience in large-scale systems.
  • Exceptional programming skills; strong analytical, organizational, and interpersonal skills.
  • Passion for building quality software; finance experience not required.

Responsibilities

  • Build the underlying infrastructure used by other engineering teams, including distributed storage and cloud environments.
  • Ensure the reliability of mission-critical products and systems, such as the main trading system.
  • Use a suite of open-source and proprietary tools to build testing and deployment environments for quantitative models.
  • Build and maintain low-latency, high-performance infrastructure for executing trades.
  • Scale the infrastructure used to ingest data from 10,000+ sources daily.
  • Collaborate with Corporate teams to develop tools and systems to increase productivity and efficiency across the organization.

Skills

Java
C/C++
Python
Ruby
Perl
JVM languages

Education

Bachelor's degree in technical field
Master's degree
PhD in technical field

Job description

Two Sigma, a leading quantitative investment management and trading firm, hires software engineers focused on building scalable infrastructure to support data-driven decision making and trading operations.

As an engineer, you will work across teams to develop reliable, high-performance systems, leveraging open-source and proprietary tools. This role offers opportunities to learn, contribute, and grow within a forward-looking organization.

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