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Systems/Software Engineer - Storage Systems
Ref No.: 18-08535
Location: New York, New York
Princeton Information is seeking a Fulltime Permanent Systems / Software Engineer for a major client @ New York, NY

Job Description is as below:


Client is a hybrid of systems and software engineering who is trusted to improve the stability and availability of the production environment through automation.
We're responsible for monitoring, provisioning, configuration management, orchestration, capacity planning, deployment and rollback, incident management, and systems development life cycle practices.

The Team:

The Storage team is responsible for the automated provisioning and monitoring of our backup, SAN, NFS and other storage technologies.
The team strives to automate all aspects of the storage lifecycle including provisioning, mobility, change and decommissioning.
Current projects include a Storage as a Service platform with full API support, and planning an evolution towards Software Defined Storage.

What's In It For You?

You'll work with modern open-source tooling while maintaining mission-critical systems hosting a wide array of applications.
We'll depend on you to advise on design, architecture, and scaling of Storage platform that spans several technologies and you'll play a critical role in improving the stability of the Storage platform as we grown and add new storage services to the platform.

You'll Need to Have:

•Demonstrated experience programming and testing Python, Ruby, Go, or C/C++
•Experience working in a 24/7 production engineering organization
•Ability to listen, communicate, evaluate, problem solve, multi-task, and prioritize in a high-pressure, mission-critical, and rewarding team environment.

We'd Love to See:

•Deep expertise troubleshooting complex distributed systems
•Experience with creating and improving documented procedures and/or playbooks
•Working knowledge of Chef, Puppet, Ansible, or Salt
•Familiarity with open source configuration, orchestration, and CI/CD tools
•Deep understanding of TCP/IP and Unix networking, Linux kernel performance
•Familiarity with large-scale x86 infrastructure with thousands of machines
•Familiarity with EMC, Client, Pure, Isilon, Netapp, 3-Par
•Familiarity with large fibre channel networks (Brocade)