DevOps Software Engineer

About us   We’re proud to be Australia's #1 Great Place To Work in Technology, 2026. We have also been named Australia's #1 Great Place to Work 2025 for the second year running! This is in addition to being Great Place to Work Certified 3 years in a row.    Macquarie Cloud Services are the Australian specialists in cloud services for business and government. Locally owned and operated, with an industry-leading customer service model, we’re trusted by our customers to provide the services that enable their business success.   We have made it our challenge to make our people feel good and love the work they do. Because of this, our people are energised and motivated in their work.    We believe that collaboration & team connection is key for success. This role will be based in Sydney with a blended working arrangement of 3 days in our CBD offices & the remaining working from home. #LI-Hybrid   The Opportunity   The DevOps Software Engineer role is to simplify the deployment and management of the Cloud Services infrastructure through the automation, standardisation, integration, reporting, compliance checking and remediation of infrastructure under management.   The DevOps Software Engineer will focus on:   1.      The design, development, testing and implementation of micro-services and applications, including database management. 2.      The design, development, testing and implementation of automation workflows to provision, change and de-provision infrastructure elements. 3.      Report, manage, and where possible automate, the remediation of non-compliance between infrastructure under management and billing systems. 4.      Evaluate and then champion new technology to support underlying business needs and initiatives. 5.      The integration, management and support of software and infrastructure management systems leveraging open-source frameworks, latest tech, experimentation, learning   The DevOps Software Engineer will build automation, ETL and APIs to support business and customer outcomes. This includes the design, development and integration of AI-enabled workflows, Model Context Protocol (MCP) servers, prompt engineering frameworks and AI-assisted operational tooling.