Sr. Digital Library Software Engineer - LD4L Labs

Cambridge, MA
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Created: June 29, 2016

Description

Come join the Harvard team working on pushing the envelope of linked data for libraries!

Harvard Library is a participant in an Andrew W. Mellon Foundation grant - Linked Data for Libraries: LD4L Labs. The project is a collaboration of Cornell University, Harvard University, The University of Iowa, and Stanford University to advance the use and usefulness of linked data in libraries. Project team members will create and assemble metadata tools, ontologies, services, and approaches that create and use linked data to improve the discovery, use, and understanding of scholarly information resources. The goal is to pilot tools and services and to create solutions that can be implemented in production at research libraries within the next three to five years.

This project is a great opportunity to collaborate with outstanding colleagues at Harvard and peer institutions on the leading edge of the semantic web, developing tools and technologies for the next generation of library metadata, exposing Harvard’s library resources as linked open data and linking that data to related resources on the web.  You will be a part of Harvard University IT Library Technology Services (LTS), which develops digital library software for the Harvard Library, including a digital repository service, web delivery applications for images, audio, video, and books, and software for the management and public access to visual material, archival descriptions, and geospatial data sets.

The Harvard portion of the project includes deploying a pilot linked data conversion and triple store hosting environment for BIBFRAME linked data, an evolving standard being stewarded by the Library of Congress. As part of a team of LTS developers, Library metadata specialists, and dev/ops staff, you will work on projects to further LTS goals, and play a lead role in piloting linked data hosting, conversion, editing, publication, and visualization of Harvard Geospatial Library and Harvard Film Archive metadata. Work may include enhancing, and deploying triple stores, linked data identity endpoints, the open source Vitro linked data creation and editing environment, and data format conversions and visualizations that will leverage linked data. You will work closely with skilled staff at Harvard as well as collaborate with leading linked data staff from Cornell, Stanford and Iowa to build metadata management and linked data services for the library.

This is a term position funded through March 31, 2018.

Basic Qualifications
- Bachelors degree with 5+ years software engineering experience or equivalent.
- Familiarity with linked data principles and technologies, including XML,  RDF and ontologies
- Full stack web application development experience, including server side development, web services, java, and javascript

Additional Qualifications 
-  Self-motivated, with evidence of ability to assess, analyze, plan, and solve problems creatively and collaboratively in a complex, rapidly-changing environment
- Excellent English oral and written communication skills
- Proven ability to communicate with both technical and non-technical staff and capture  user needs
- Proven ability to accomplish goals in a timely way with minimal supervision
- Knowledge of the academic library organization and information technology goals

Experience with the following is desirable:
- Triple stores and SPARQL
- Library metadata schemas such as MARC, METS, PREMIS, MODS, BIBFRAME, Schema.org
- XML Schema and/or OWL
- PHP, ruby on rails, or python (Omeka/PHP or Blacklight/Rails a plus)
- Graph visualization for non-technical users
- Developing and consuming RESTful APIs
- Test-driven development practices
- Agile development practices.
- User story development and library client engagement
- Integrating and/or contributing to open source software projects

Please click the following link to view the job description.

39789BR - Senior Digital Library Software Engineer
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Last updated: Tuesday, February 28, 2017 23:40 UTC