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Software Developer

Softtest Pays

South Australia

On-site

AUD 80,000 - 100,000

Full time

Today
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Job summary

A software development company in South Australia is seeking a software engineer experienced in writing high-quality Python code. The role involves collaborating with data scientists to create software solutions and improve existing services using AWS. Candidates should have a strong commitment to testing and an understanding of DevOps practices. Skills in Machine Learning or MLOps are advantageous.

Qualifications

  • Experience writing high quality Python code.
  • Experience with DevOps pipelines.
  • Strong commitment to testing and software quality assurance.

Responsibilities

  • Work with data scientists and software engineers to create and maintain tools, services, and applications.
  • Explore new ideas and techniques to improve existing solutions.
  • Deliver software solutions using AWS.

Skills

High quality Python code
DevOps
Commercial Cloud Platforms (preferably AWS)
Software quality assurance
Team collaboration
Machine Learning or MLOps

Education

Relevant qualifications in software engineering
Job description

Please respond to the job if you are an Australian Citizen and residing in Australia.

The candidate will have:

  • Experience writing high quality Python code
  • Experience with DevOps
  • Experience with Commercial Cloud Platforms (preferably AWS)
  • Strong commitment to testing and software quality assurance
  • Experience working as part of a team
  • Relevant experience and/or qualifications in software engineering
  • Experience with Machine Learning or MLOps would be favorable
  • Ability to obtain baseline clearance

Deliverables include;

  • Work with data scientists and software engineers to create and maintain tools, services, and applications.
  • Explore new ideas and apply innovative techniques to build new and improve existing solutions
  • Deliver software solutions utilising the AWS commercial cloud platform
  • Provide technical advice to software engineers, data scientists and executive stakeholders in-person, through presentations and via Teams, email, and formal documentation
  • Building new and improving existing DevOps pipelines.
Required Skills:
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