Stanford University is looking for a System Software Developer in Palo Alto, CA. According to the post, "Stanford University Libraries (SUL) is seeking a talented software engineer to support the discovery and delivery of digital library content. This is a four-year term position with the possibility for renewal. The Discovery Engineer will primarily develop digital library software to enable management, indexing, and online discovery of digital library materials. This position is part of the Application Development team in the Digital Library Systems and Services (DLSS) unit of SUL. The Discovery Engineer will be primarily focused on enhancing discoverability of SUL content via SearchWorks (http://searchworks.stanford.edu), specialized collection websites, and on the open web. As a member of the DLSS development team, the Discovery Engineer will also contribute to the overall development of the Stanford Library’s web and digital library infrastructure, and help plan, specify, and build the technologies needed to support the University’s goal of ubiquitous access to scholarly information."
Qualifications for the position include: "Demonstrated knowledge and expertise in the requirements, issues and methods of discovery, search and/or information retrieval, especially in an academic environment and/or web environment. Demonstrated success participating in community-based open source projects, specifically those relevant to the Stanford Libraries’ Digital Library architecture, such as Fedora, Blacklight, Solr or Hydra. Demonstrated success participating in and contributing to open source software development projects. Demonstrated experience with library applications and technology, including experience participating in relevant library open source efforts. In-depth knowledge of library policies and practice, metadata standards and the scholarly communication framework. Familiarity with the process of digitizing images, text, audio and video in cultural heritage institutions. Familiarity with RDF, semantic web, and linked data technologies and practices."