Research Storage Engineer Senior

University of Michigan

Ann Arbor (MI)

Hybrid

USD 103,000 - 114,000

Full time

7 days ago

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Benefits offered by this job

Generous time off policy

Two-for-one retirement matching

Comprehensive health insurance

Life insurance

Long-term disability coverage

Flexible spending accounts

Dental and Vision Insurance

Parental and Maternity Leave

Job summary

University of Michigan's ITS ARC invites a Storage Engineer Senior to join the team in Ann Arbor. The role focuses on operating, supporting, and building storage platforms for research, with emphasis on automation, resource management and performance tuning.

We seek strong Linux experience, scripting skills, and the ability to work in a distributed research IT environment. Hybrid work is available with a comprehensive benefits package.

Qualifications

Bachelor's degree in computer science, engineering or equivalent experience.
Strong scripting (bash/shell) and one of Perl or Python.
4+ years in managing a production Linux environment.
Solid config management and provisioning knowledge.
Security practices in shared environments.
Storage deployments using NSF v4 with Kerberos, NFS v3 and CIFS.
Unix/Linux TCP/IP networking and SQL understanding.
Experience with data analytics tools and collaboration skills.
Able to troubleshoot, communicate clearly, and prioritize work.
Ability to improve workflows and work independently in a distributed team.

Responsibilities

Install and support storage software.
Create user and admin documentation.
Apply software patches and perform end-to-end performance tuning.
Stay abreast of new storage methods and releases.
Provide user support and training on best practices.
Assist in provisioning workflows and resource management.
Maintain inventory of resources in the Private Cloud.
Collaborate with ARC staff on computational research support.
Monitor storage technology trends relevant to HPC.

Skills

bash/shell

Perl or Python

Linux administration

configuration management

security practices

storage deployments (NFS/Kerberos/CIFS

TCP/IP networking

SQL

data analytics tools

troubleshooting & communication

workflow improvement

Education

Bachelor's degree in computer science or engineering

Tools

Starfish

Spectrum Discover

Komprise

GUFI

Elasticsearch

Logstash

LDAP/Active Directory

Job description

Who We Are

Information and Technology Services (ITS) supports U-M faculty, researchers, staff, and students in their use of technology to teach, learn, research, and work, and be leaders in their fields. We are dedicated to creating cohesive digital experiences and promoting university wide innovations. ITS's mission is to be trusted enablers of technology for the U-M community. ITS works together to provide cohesive digital experiences and seamless support to the U-M community.

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

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Additional Information

In addition to a career filled with purpose and opportunity, The University of Michigan offers a
comprehensive benefits package to help you stay well, protect yourself and your family and plan for a secure future. Benefits include:

Generous time off policy
A retirement plan that provides two-for-one matching contributions with immediate vesting
Many choices for comprehensive health insurance
Life insurance
Long-term disability coverage
Flexible spending accounts for healthcare and dependent care expenses
Dental and Vision Insurance
Parental and Maternity Leave

Application Deadline

Job openings are posted for a minimum of seven calendar days.The review and selection process maybegin as early as the eighth day after posting.Thisopening may be removed from posting boards and filled any time after the minimum posting period has ended.

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.

Job Detail

Job Opening ID

280336

Working Title

Research Storage Engineer Senior

Job Title

Storage Engineer Senior

Work Location

Ann Arbor Campus

Ann Arbor, MI

Modes of Work

Hybrid