Platform Jobs in Australia

APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email addre

APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email addre

About You Minimum Requirements: Proven experience in the construction industry, with a strong background as an experienced scaffolder or Hang on Platform Installer Scaffold Basic (essential) Construction Induction Card (White Card) Current valid unrestricted Driver's Licence and own transport MR/HR

You will work across the full Linux stack from kernel through networking, virtualization and graphics to optimise Ubuntu, the world’s most widely used Linux desktop and server, for the latest silicon. Our teams partner with specialist engineers from major silicon companies to integrate next-generati

Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL,

Department for Health and Wellbeing – Digital Health SA – Technology & Infrastructure - Digital Workplace Services Salary: $130,046 to $134,956 – ASO8 – Full Time / Term Contract up to 30 June 2027 Overview: The M365 Platform Owner is responsible for leading and directing the delivery of critical M3

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Engineer, AI Platform based in Australia. This role offers the opportunity to lead the engineering foundation behind reliable, measurable, and scalable AI-powered fe