Software Engineering Full-Time Campus Hire (NYC)

Two Sigma; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

Two Sigma seeks engineers to build and maintain the core infrastructure used across the company, including distributed storage, cloud environments, and high-performance trading systems.

You will work with open source and proprietary tools to deploy models, ingest data from thousands of sources daily, and partner with Corporate teams to boost productivity and reliability.

Qualifications

• Bachelor's, Master's, or PhD in a technical or quantitative field.
• Experience with languages targeting the JVM (e.g., Java, C++, Python, Ruby, Perl).
• Experience in large-scale systems.
• Exceptional programming skills.
• Strong analytical, organizational and interpersonal skills.
• Passion for building quality software; open-minded for diverse thinkers; finance experience not required.

Responsibilities

• Build underlying infrastructure used by other engineering teams (distributed storage, cloud environments).
• Ensure reliability of mission-critical products and systems (e.g., main trading system).
• Use open source and proprietary tools to build environments for testing and deploying models.
• Develop and maintain low-latency, high-performance infrastructure for trade execution.
• Scale infrastructure to ingest data from 10,000+ sources daily.
• Collaborate with Corporate teams to improve productivity and efficiency across the organization.

Skills

Java

C

C++

Python

Ruby

Perl

JVM languages

Education

Bachelor's/Master's/PhD in a technical or quantitative field

Job description

Depending on the Engineering area you join, you will take on the following responsibilities:

• Building the underlying infrastructure that virtually every other engineering team at Two Sigma uses, such as our distributed storage and public and private cloud environments.


• Ensuring the reliability of "mission critical" products and systems vital to Two Sigma, such as our main trading system.


• Using a suite of open source and proprietary tools to build the environments that test and deploy our quantitative strategies, also known as models.


• Building and maintaining the low-latency, high-performance infrastructure and systems responsible for executing trades.


• Building and scaling the infrastructure used to ingest data from 10,000+ sources daily.


• Partnering with our Corporate teams to develop tools, systems and products responsible for increasing productivity and efficiency across the organization.

Wondering if this is the right role for you? You should possess the following qualifications:

• A Bachelor's, Master's, or PhD degree in a technical or quantitative field.


• Experience with Java, C, C++, Python, Ruby, Perl, or other languages that target the JVM.


• Experience in large-scale systems.


• Exceptional programming skills.


• Strong analytical, organizational, and interpersonal skills.


• A passion of building quality software.


• We are open-minded in our search for critical thinkers who are passionate about technology. While we analyze the data-rich domain of finance, financial experience is not a requirement.