DevOps Engineer - Investigative Analytics team - Machine Learning on Graphs at CSIRO's Data61 (Canberra, Australia)

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• Collaborate on developing a cutting-edge machine learning platform
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• Push the boundaries of technology in an exciting new Greenfield project
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• Work within an exceptional research and development environment - join CSIRO's Data61, the largest data innovation network in Australia
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The Position

CSIRO’s Data61 is seeking to appoint a talented DevOps Engineer for the Data Science Platforms team.

The role requires a creative and dedicated DevOps engineer to design, build and manage both our internal and client-hosted distributed machine learning environments. This role can provide freedom to design and implement the development, deployment and release strategies around a large scale data platform. The team is currently developing graph analytics software to analyse and visualise linked network data with real impact for Australia.

In this role you will be encouraged to experiment with new technologies, learn new techniques and skills, and apply them to your work.

Location:      Canberra, ACT
Tenure:         Specified Term of 2 years
Reference:    57663

To be successful you will need

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• Bachelors/Master’s degree in a scientific or technical discipline such as Computer Science, or equivalent commercial experience.
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• Experience designing, building and operating complex distributed systems in a cloud environment
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• Proficiency with containerised environments, e.g. Docker Swarm, Kubernetes
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• Solid experience with CI/CD processes and tools, e.g. Travis CI, Jenkins
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• Experience with configuration management tools, e.g. Chef, Puppet, Ansible
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• Experience with at least one scripting language, e.g. Python, Ruby, Go, Bash, Perl
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• Experience troubleshooting complex problems in distributed systems
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• The ability to collaborate and grow with a multi-disciplinary, geographically dispersed research and engineering team.
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- To lodge an Expression Of Interest in being considered for this position - upload a CV or contact details and an online profile (i.e. LinkedIn, URL) along with any online resources you would wish to showcase (i.e. GitHub, other) 

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