Infrastructure Engineer

Position Summary

Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.

Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world’s most complex economic problems.

Our Infrastructure Engineering team, part of Reliability Engineering, is responsible for the technology foundations for Two Sigma while at the same time partnering with our Trading teams to enable their business functions to succeed.

You Will Take On The Following Responsibilities

• Primary engineering and operational support for multiple, large distributed systems, including trading infrastructure, networks and foundational systems for the company
• Engaging with our Trading focused reliability engineering software engineering teams on support issues and improvements to our tools, processes, software, and infrastructure
• Improving all aspects of system, infrastructure and software reliability, including better monitoring, alerting, and documentation
• Developing tools and automation to support our infrastructure environments
• Gathering and analyzing metrics from both operating systems, networks, applications and storage infrastructure to assist in performance tuning and fault finding

You Should Possess The Following Qualifications

• A bachelor’s degree in computer science or another highly technical, scientific field
• Ability to troubleshoot systems in a high pressure, on-call environment, while providing pertinent updates to business and technology partners
• In-depth knowledge and experience in at least one of the following: networking, Linux/UNIX administration, storage technologies, systems programming, distributed systems, databases, or cloud computing
• Ability to program (structured and OO) with one or more high level languages (such as Python, Java, C/C++, Go) with a proven track record of automation
• The ability to apply off the shelf and open source systems and utilities to provision production systems in a variety of domains, especially for multi-tenant use
• A systematic and proactive approach to spotting and solving problems