Software Engineer-Repository ServicesHEO8 ($110,291-$123,734) | Full-Time24 months Fixed-term ContactHelp shape Australia’s national infrastructure for agricultural research data and make a tangible difference to global food security.The University of Adelaide leads the Australian Plant Phenomics Network (APPN), a national research infrastructure initiative established through the Commonwealth’s National Collaborative Research Infrastructure Strategy (NCRIS). APPN delivers cutting-edge imaging and data collection technologies for plant phenotyping, supporting research in controlled environments, field sites, and remote locations. The network consists of nine nodes strategically positioned across Australia’s diverse climate zones—spanning WA, SA, ACT, Victoria, NSW, and Queensland—and is hosted by eight leading universities and one state government department.We are seeking an experienced Software Engineer (Repository Services) to join the Australian Plant Phenomics Network (APPN) Central Data Team. This is your opportunity to help build the digital foundation for one of Australia's most advanced research networks in plant phenotyping.Key ResponsibilitiesDevelop and maintain server-side solutions for storing, organising, and accessing large datasetsDesign tools that structure and package data using FAIR principles, RO-Crate standards, and JSON-LD metadataCollaborate with data centre teams to ensure stable repository operationsBuild interfaces to support data discovery and develop basic landing pagesImplement efficient access controls and mechanisms for handling large image assetsContribute to policy-based storage decisions (e.g. archiving, deletion, cost-efficiency)Support broader software development activities across the APPN Central Data TeamAbout YouYou're a forward-thinking developer with a passion for open data, interoperability, and scalable research infrastructure. You thrive in collaborative environments and enjoy solving complex problems in data architecture and software design.Selection CriteriaDemonstrated expert knowledge and at least two years practical experience managing complex data in an S3 environment.Demonstrated expert knowledge of the Python language and best-practice Python software development.Demonstrated experience using and applying data standards, metadata standards and controlled vocabularies to facilitate data re-use.Demonstrated experience in team software development, including coding and documentation standards, Git-based version control, defect and issue management, code review and test.Experience capturing software requirements and translating these into documented designs and implementation plans.Good interpersonal, oral and written communication skills.Capacity to work independently as well as in a team environment.Demonstrated ability to promote the organisational values of integrity, respect, collegiality, excellence and discovery, and a commitment to positively comply with the associated behaviour expectations.DesirableUnderstanding of research data management principles, practices, and associated methodologies, encompassing the research data lifecycle, including the FAIR data principles, use of vocabularies and ontologies, globally unique identifiers, metadata standards and handling of CSV/tab-delimited data.Experience developing modular software solutions using Application Programming Interfaces (APIs).Experience building and deploying containerised solutions (Docker, Kubernetes, etc.).Qualifications:Tertiary qualification in either Computer Science or Software Engineering with at least 2 years relevant work experience, or an equivalent combination of education and/or training, including broad experience in a scientific/research and/or industry environment(s).How to ApplyAre you ready to develop innovative software that supports world-class agricultural research? Join the Australian Plant Phenomics Network (APPN) and make a real difference in sustainable agriculture across Australia.Please ensure you submit a resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.***Applications close 11:55pm, Sunday 4th May 2025***The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.For further informationFor a confidential discussion regarding this position, contact:Donald HobernData Management Director, Australian Plant Phenomics NetworkE:mailto:donald.hobern@adelaide.edu.au
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