Job Description

Job Summary
The Advanced Research Computing (ARC) organization has an exciting opportunity to employ a Storage Engineer Senior. This position will report to the Research Computing Manager and will be a part of a team responsible for operating, supporting and building world-class storage platforms for research. This position will work as a part of a team to maintain and support research data stored on ARC storage systems. This position utilizes experience with storage technologies and software development techniques, to design and implement storage automation, resource management and trend analysis.

ARC is the University of Michigan's research IT provider specializing in High Performance Computing (HPC), AI/Machine Learning, high speed networking, storage, and other technologies to accelerate the research mission of the institution.

For more information about ARC, please visit our website: http://arc.umich.edu/, and for more information about ITS, please visit our website: http://its.umich.edu/.

As a Research Storage Engineer for the ITS Advanced Research Computing team at the University of Michigan, your position's key responsibilities include, but are not limited to, the following:

Install and support storage software
Create documentation for users and administrators
Apply software patches
End-to-end performance tuning of the data platforms
Keep abreast of new methods, functionality, and releases to enhance capability
Provide support to users of the service
Provide training and documentation on best practices to power users and the general user base
Assist users in troubleshooting complex use cases
Evaluate improvements to user experience
Support the development of internal ARC resources for management of ARC storage services, such as provisioning workflows, user offboarding or metadata analysis.
Assist in building and maintaining an inventory of faculty consumed resources on the Private Cloud environment
Work with other ARC and affiliated staff to support computational research around the University
Stay abreast of application technology trends in storage solutions and environments (technology system management methods, etc.)
Required Qualifications*
Bachelor's degree in computer science, engineering or an equivalent combination of education and experience
Strong understanding in scripting languages such as bash/shell, and one of Perl or Python.
4 or more years in managing a production Linux environment
Strong understanding of configuration management and system provisioning methods and tools
Strong understanding of security practices in a shared environment
Strong understanding of storage deployments using NSF version 4 with Kerberos, NFS version 3 and CIFS including file permissions.
Understand Unix/Linux TCP/IP networking
Understanding of SQL
Understanding of modern data analytics tools
Proficiency in troubleshooting, verbal and written communication, interpersonal communication with others, and prioritization when faced with multiple requests and projects.
Ability to creatively improve workflows and processes
Ability to work self-sufficiently and participate in a larger distributed support structure
Desired Qualifications*
Understanding of specific regulatory frameworks such as HIPAA, Controlled Unclassified Information (CUI), NIST 800-171
Experience in a related role requiring customer service, confidentiality, timeliness, organization, prioritization, troubleshooting, and working independently to successfully design services and workflows
Experience with Starfish, Spectrum Discover, Komprise, GUFI, or other data lifecycle, discovery, or workflow tools
Experience with Elasticsearch and Logstash
Experience with coding and development in a collaborative environment.
Experience with LDAP and Active Directory in a storage service.
Experience providing IT support in an academic or research environment
Experience with Globus GridFTP, Aspera, or FDT.
Experience with hierarchical storage management (HSM) systems such as SAM-QFS, Black Pearl, HPSS, Spectrum Archive etc., with object or tape backends
Experience with scale-out NAS platforms, such as VAST, Dell PowerScale, Qumulo or Weka
Experience with IBM GPFS / IBM Storage Scale, Lustre, or other parallel filesystems
Experience with MPI-IO/Parallel IO or IO in an HPC environment
Experience with data management tools such as GUFI, Starfish or Media Flux