Defence and government advisory firm delivering large-scale infrastructure projects across Australia
Downer Professional Services is a government-focused advisory and delivery partner with 500+ permanent staff operating across Australia's defence, national security, and infrastructure sectors. The tech stack—anchored in VMware, Azure, ServiceNow, SAP S/4HANA, and security tools like Splunk and McAfey—reflects a mission-critical, heavily regulated environment. Active hiring across engineering, ops, security, and data suggests capability-building to handle complex integration and cost-modelling challenges that dominate their current project portfolio (destroyer capability enhancement, land integration framework, tactical services integration).
Downer Professional Services advises and executes large-scale projects for the Australian Defence Force, federal government agencies, and national security entities. Spun out as an independent subsidiary in 2018 from parent company Downer Group (which supplied manufacturing and heavy industry to Defence since the 1940s), DPS has expanded from 220 to over 500 permanent staff. The firm operates from Canberra headquarters with offices nationwide, enabling end-to-end project delivery across defence capabilities, infrastructure integration, and government ICT modernization. Work centres on complex acquisitions, system integration, and sovereign capability development—areas where regulatory compliance, cost governance, and technical coordination are primary operational pressures.
Core platforms include VMware and Hyper-V (virtualization), Azure and OpenStack (cloud), ServiceNow (ITSM), SAP S/4HANA (ERP), Splunk (monitoring), and identity/security tools like Intune, McAfee, and Active Directory. GitLab and Ansible support infrastructure automation.
Canberra City, Australian Capital Territory. The company also maintains offices across Australia to support nation-wide infrastructure and defence project delivery.
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Downer Professional Services's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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