DevOps Engineer

  • Role located in Canberra
  • Applications close on Thursday 25/2/2021
  • Immediate start
  • Contract to 30/6/2021 with a possible extension option
  • Australian citizenship required for this role

 A DevOps Engineer is required to:

  • Implement and improve automated testing and deployment pipelines on AWS for Near Real Time production and delivery of satellite data products;
  • Contribute code enhancements to Open Data Cube open source software project;
  • Work with scientist to implement code and produce test products for evaluation;
  • Benchmark processes and work to iteratively refine delivery to ensure cost effective use of AWS resources;
  • Contribute and drive a strong DevOps culture with a focus on collaboration;
  • Support, monitor and continually develop and improve tools, software and services that comprise operational environments to simplify and enhance data management, provision of data services, and operations within AWS;
  • Develop and/or provide input to information support materials such as ‘how to guides’; and
  • Help facilitate the continuation and expansion of operations and services; and continuously improve and optimise policies, processes and systems.

Selection Criteria

  • Tertiary qualifications in information technology or equivalent industry experience.
  • An expert in continuous integration and deployment – using technologies such as kubernetes, docker, terraform and airflow.
  • Understanding of science concepts and ability to interpret complex information.
  • Demonstrated ability to work proficiently in a Linux-based environment and in a range of computing platforms including AWS.
  • Have the ability to work collaboratively and operate effectively in a small team environment that has significant and diverse demands on their time.
  • Demonstrate understanding and experience in modern software development practices such as Dev-Ops and Agile.
  • Strong understanding of software architecture patterns and team development tools and practices.
  • Experience using Kubernetes.
  • Experience in benchmarking and AWS expenditure optimization.
  • Public GitHub contributions

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