Reliability Engineer

Location: New York, New York, United States

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As a member of this versatile group of full stack engineers, you will be on the front line for maintaining and expanding the capabilities of Two Sigma’s many and varied systems. The team exists in the space between traditional systems administration and development, and seeks to merge the capabilities from both disciplines. Our remit includes:


  • Acting as a conduit between infrastructure and development teams, being sympathetic to the concerns and priorities of both;
  • Primary operational support and engineering for multiple large distributed software applications;
  • Primary operational support and engineering for our OpenStack private cloud;
  • Improving all aspects of software reliability, including better monitoring, alerting and documentation;
  • Engaging with our software engineering teams on support issues and improvements to our tools, processes, and software;
  • Gathering and analyzing metrics from both operating systems and applications to assist in performance tuning and fault finding.

Requirements Include:


  • A bachelor’s degree in computer science or another highly technical, scientific discipline.
  • Ability to program (structured and OO) with one or more high level languages (such as Python, Java, C/C++, Ruby, JavaScript).
  • In-depth knowledge and experience in at least one of: host based networking, linux/unix administration, systems programming, distributed systems, databases, cloud computing, and a desire to learn more.
  • The ability to quickly leverage off the shelf and open source systems and utilities to rapidly provision production systems in a variety of domains, especially for multi-tenant use.
  • A proven track record of automation and an algorithmic approach to solving problems.
  • A proactive approach to spotting problems, areas for improvement, performance bottlenecks, etc.
  • An understanding of the operational concerns in a demanding environment; ideally, but not necessarily, finance.
  • The ability to understand the inherent trade-offs between various software architectures as it relates to performance, resiliency/fault tolerance, load balancing, data consistency.
  • Ability to profile and debug applications in real time

Additional Skills Preferred:


  • Experience with authentication and encryption technologies like SSL, Kerberos and GSSAPI.
  • Networking experience, analyzing packet dumps, multicast routing on hosts, packet filtering.
  • OS/kernel experience such as familiarity with OS tunables, log analysis.
  • Experience with automated configuration management tools like Ansible, Chef, Puppet
  • Experience with distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (Mesos, Kubernetes, Yarn)

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