Team Leader Geospatial React Development

Details of the offer

Who are we:
Our department's primary objective is the delivery of homes and housing options for South Australians. In response to the national housing crisis, we are committed to accelerating the build of a diverse range of housing options. We strive to find solutions to the urgent demand for housing security.
Our mission focuses on coordinating various portfolios related to housing, housing infrastructure, urban development, and planning. By ensuring sound decisions and efficient management, we strive to create sustainable, well-planned communities offering safe and affordable housing options.
Join us in our endeavour to address one of the most pressing challenges of our time and make a tangible difference in the lives of our community.
The Role:
The Team Leader Geospatial React Development is responsible for the creation, maintenance and enhancement of Planning and Land Use Services React based Geospatial Applications. The role is also responsible for planning, documenting and gaining approval for the architecture and tools used. The role leads a small team of react developers and ensures all applications are developed and maintained following the architecture, patterns and design principles specified.
This role requires a thorough understanding of geospatial concepts and expertise in integrating geospatial platforms such as MapLibre, React-Map-GL, and ESRI with React to develop advanced, spatially enabled web applications. Since all applications are delivered using the AWS cloud platform, strong proficiency in the AWS ecosystem is essential.
About You:
To be successful in this position, you must be able to demonstrate experience across the following key capabilities:
Extensive experience architecting and delivering react applications using the AWS cloud platform utilising services such as CDK, CloudFront, Lambda, ECS and API Gateway. Experience in BitBucket integration with CodePipeline and the strict adherence to CI/CD principles for code deployments. Well-developed, applied knowledge of System Development and support Methodologies (Devops, SDCL, Agile Development and ITIL). Extensive Geospatial Experience, using MapLibre, React-Map-GL and ESRI tooling to develop spatial applications in React. Experience building and using Geospatial python libraries such as GDAL for the delivery of geospatial data via APIs to React applications. Experience using Typescript, MUI, JEST, Vite, Redux and Storybook snapshots. Proven ability to lead a team of developers ensuring the team is delivering high-quality code, reviews, tests, and documentation. Ability to gather business requirements and create specifications in easy-to-understand business language, gain signoff and then produce detailed technical requirements for the team to deliver. Well-developed communication skills enabling effective collaboration with cross-functional teams. Ability to work under tight timeframes with limited supervision. Experience using the Atomic Design Principle and Hexagonal Architecture to deliver React applications. Desirable Qualification:
Relevant qualification that aligns to role requirements, such as a Bachelor's degree in Web Development, Computer Science, or a closely related field, with a focus on modern web technologies such as React.
Special Conditions:
Successful applicants may be required to obtain a satisfactory Department of Human Services Criminal History Check or National Police Check prior to employment. A renewal will be required every 3 years.
Remuneration:
ASO-7 $108,109 to $116,864
Enquiries:
For all confidential enquiries, please contact Michael Ness, Manager Geospatial Services at
Application Instructions:
All applications must be submitted online. If you are interested in this opportunity, please submit a covering letter (no more than 2 pages), outlining your skills and experience in relation to the key capabilities outlined in the role statement, a current CV and the contact information of three referees including your current line manager.
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Nominal Salary: To be agreed

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