Storage Engineering & Administration:Install, maintain, and administer research data storage and retrieval systems. Install, maintain, and support data archival and retrieval software, and data movement schedulers on the systems. Partner with developers to properly support the creation of automated processes and workflows for departmental use of Tiger. Data. Accountable for overall performance and reducing latency for storage solutions across the infrastructure. Monitor and analyze the systems, ... more details
Senior Research Storage Engineer
Requisition #2024-19233
Date Posted1 hour ago(5/31/2024 4:42 PM)
Department
Research Computing
Category
Information Technology
Job Type
Full-Time
Overview
Do you want to be part of a team that supports world-leading researchers by delivering innovative data storage and management services? Would you enjoy collaborating with faculty and researchers to design and implement storage solutions that best support their research needs? Are object storage and/or parallel file systems among your specialties? If so, the Research Computing department at Princeton University is looking for aSenior Research Storage Engineerto join its team and help guide the direction of TigerData, a data management and storage service that supports the advancement of research at Princeton University.
As a member of the advanced data and storage management team, you will partner with colleagues in the University Library and Office of Information Technology, as well as with vendors to install, administer, and support data storage systems and related software to the specifications needed for the implementation of TigerData. You will be responsible for the design of monitoring tools and be expected to monitor and troubleshoot system-level issues, manage network configurations, and assist with the administration of high-performance computing storage systems and contribute to the ongoing design and expansion of TigerData. Working closely with campus colleagues, you will also provide timely and creative support to faculty and researchers as it relates to long-term data storage and retrieval.
Responsibilities
Storage Engineering & Administration:
Install, maintain, and administer research data storage and retrieval systems
Install, maintain, and support data archival and retrieval software, and data movement schedulers on the systems
Partner with developers to properly support the creation of automated processes and workflows for departmental use of TigerData
Accountable for overall performance and reducing latency for storage solutions across the infrastructure
Monitor and analyze the systems, establish measurement processes, and track performance against applications and projects
Tune the TigerData and HPC storage systems software and hardware to adapt to the changing needs and usage patterns of our faculty and researchers
Manage networking configurations
Assist with the administration of high performance computing storage systems
Use scripting and programming tools (bash, Python, and/or Perl) and perform basic debugging
Operations:
Design, install, and administer the TigerData and high performance computing storage systems
Manage a multitude of data buckets/vaults and their related access keys, install and configure middleware, and manage user access and group creation in TigerData
Manage diverse file systems including Isilon, IBM Spectrum Scale, Object and others
Manage the underlying heterogeneous storage infrastructure that makes up TigerData including the ability to tune each storage system appropriately to meet performance needs
Define and apply best practices to install, configure, and operate data intensive research systems both on-premises and in the cloud
Define and monitor threshold-alerting mechanisms, resolve issues related to storage use
Professional Development:
Keep abreast of and learning about emerging storage technologies and develop those that will bring value to the populations served by Research Computing
Leadership:
Using expertise in storage platforms and experience with the Princeton research community, provide guidance and direction for the strategic implementation and growth of the TigerData service
Consult with the University Library, faculty, researchers, vendors, and IT staff to determine storage and data movement requirements and needs
Qualifications
Essential Qualifications:
Minimum of 5-7 years of experience as a storage administrator or engineer, preferably in a research environment
Experience supporting various storage solutions, including cloud object storage and network attached storage (Isilon)
Ability to solve routine and complex data storage and movement problems
Experience with storage performance monitoring and tuning
Expertise in managing file service protocols (NFS, CIFS, S3)
Experience with scripting and programming tools like bash, Python, and/or Perl
Ability to respond promptly and professionally to customer requests
Demonstrated successes working in a collaborative environment, as well as independently
Ability to learn new systems beyond area of core knowledge
Ability to communicate and collaborate effectively with a diverse user base having varied levels of technical proficiencies
Ability to proactively seek information and ideas from peers, supervisors, and customers
Ability to handle multiple priorities
Education: A bachelor’s degree or related work experience.
Preferred Qualifications:
Experience managing databases, such as MySQL or PostGreSQL
Experience with the MediaFlux software platform
Experience securing and managing systems that process and store restricted use, confidential, and personally identifiable data
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS
Standard Weekly Hours
36.25
Eligible for Overtime
No
Benefits Eligible
Yes
Probationary Period
180 days
Essential Services Personnel (see policy for detail)
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