Address- 6 Month Contract + 2 X 12 Month Extension
- Ability to obtain a Baseline Clearance
- Canberra office / Offsite / Flexible working arrangements
Our Client, a Federal Government Department is seeking to fill multiple position within a newly formed Digital Earth Antarctica Section. Within the growing team of technical and scientific specialists working collaboratively to develop processing pipelines for the delivery of openly accessible Antarctic Earth Observation (EO) data. Their focus is to produce analysis ready optical and synthetic aperture radar data for a range of polar applications and users, and to extend the large-scale cloud computing infrastructure and processing algorithms to meet the demands of future exponential data volumes from Landsat Next.
The roles will work closely with Earth Observation Scientists and a Technical Lead to develop and implement scalable satellite data science workflows to deliver robust and operational products within high performance cloud computation environments.
We are seeking specialists who can deliver solutions for the following three roles:
Role 1: Develop solutions for an Antarctic Open Data Cube that suits polar projections.
Role 2: Test and adapt existing Synthetic Aperture Radar (SAR) and interferometric SAR processing workflows for Australian and Antarctic conditions.
Role 3: Test and adapt existing optical analysis ready data workflows for Antarctic conditions. Contribute to other roles as required.
In addition, each of these roles will be required to:
- Develop projects to implement solutions within an agile work environment;
- Integrate geospatial information systems, data pipelines and processing techniques that work in both super computing and cloud computing environments;
- Develop and contribute to maintainable and well documented python code, and ensure high quality is maintained across the team;
- Communicate technical issues to a wide audience, including a technical lead, program manager, other project members and science stakeholders.
Essential criteria
- Knowledge, experience and/or qualifications in coding and software development (ideally Python, Fortran also desirable);
- Experience in image processing and classification using remote sensing algorithms and/or Machine Learning techniques with optical and/or synthetic aperture radar (SAR) remotely sensed data;
- Experience with DevOps practices (CI/CD and infracode) and cloud computing (preferably in an AWS environment);
- Experience in geospatial analysis, ideally using packages such as xarray, pandas, numpy and services;
- Demonstrated ability to work in a team as part of a broader program, working towards organisational priorities;
- Demonstrated ability to undertake work under limited direction with the opportunity for reasonable initiative, self-directed work and accountability.
Desirable criteria
- Demonstrated ability to develop highly scalable workflows in AWS using Infrastructure-As-Code (i.e. Terraform) and workflow management tools (e.g., Airflow and Argo Workflows);
- Experience with radiative transfer code like 6S and MODTRAN and/or SAR data processing software such as GAMMA, ISCE3 and SNAP;
- Engineering large scale automated processing workflows (e.g., using Argo Workflows, Airflow, SNS event-driven processing);
- The ability to work effectively with technical and non-technical stakeholders.
For a copy of the full job description, including application instructions please get in touch with Alison at the Recruitment Hive by clicking the Apply Now button. Alternatively, you can reach Alison on (02)6299 1*** to discuss further.
Please note, applications close on Friday the 12th of July at 2:00pm.
Job ID: AC9558
