Senior Linux Engineer

Confidential Company  •  New York, NY

5 - 7 years experience  •  IT Consulting/Services

Salary depends on experience
Posted on 05/24/18 by Radhika Arora
Confidential Company
New York, NY
5 - 7 years experience
IT Consulting/Services
Salary depends on experience
Posted on 05/24/18 Radhika Arora

Our client is one of the world’s leading quantitativetrading firms. They are currently looking for an excellent Linux/Unix Engineer in New York.

You are an experienced Linux Engineer with an architect’s mindset, looking to engineer a structural solution to high-level problems. You are drawn by the idea of building systematic solutions in a new, high-performing development team within one of the world’s leading trading firms and finding solutions to next-generation development challenges within cloud-based environments.

Your role:

  • Build an in-house, centralized infrastructure application environment for managing authentication, configuration and directory management.
  • Architect a large-scale, multi-user R&D environment using cloud technologies (Kubernetes, Docker), and manage a hybrid cloud model using current public/private offering
  • Design and develop solutions for logging, monitoring and metering cloud infrastructure
  • Develop a reliable, multi-petabyte cloud storage solution
  • Collaborate with internal trading teams and business partners to migrate existing workloads into the hybrid cloud environment


  • Must have significant experience with Kubernetes, Docker and private cloud environments
  • Excellent (5 or more years) Linux skills
  • Good knowledge of configuration tools such as Salt
  • A bachelor’s degree or higher in computer science or a related field is required
  • Fluency in a scriptinglanguage like Python, Ruby or Bash
  • Experience with Web Services and REST API
  • Experience interfacing with public cloud solution providers like GCE, AWS or Azure
  • Strong knowledge of infrastructure automation via DevOps scripts (Shell, Python, SaltStack, Ansible, Puppet etc)
  • Experience with clustered storage solutions (IBM GPFS, Quobyte, Ceph etc)
  • Experience with HTC/HPC computing technologies (Spark, SLURM, Mesos, HTCondor or GridEngine)
  • Previous experience building and maintaining a large-scale computer environment

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