Top Tech Jobs & Startup Jobs in Melbourne

Support the design, configuration, implementation, testing, integration, and enhancement of ServiceNow solutions across ITSM, HRSD, SPM, and ITOM. Participate in requirements workshops, solution documentation, stakeholder collaboration, defect resolution, deployments, and client support. The role involves enterprise transformation projects, platform administration, REST and SOAP integrations, IntegrationHub, MID Server, and ongoing process improvement.

Lead presales and delivery of Microsoft Dynamics 365 ERP (Business Central/F&O) solutions. Drive solution architecture, demos, POCs, and scoping; oversee implementation, data migration, integrations, governance, and AI-enabled ERP initiatives. Mentor consultants, support sales, ensure delivery quality, and develop practice IP, methodology, and thought leadership.

Lead cloud security engineering and incident response across AWS and Azure environments. Manage CSPM, CWPP, SIEM, vulnerability management, cloud monitoring, threat detection, and security controls. Develop detection rules, dashboards, log integrations, threat-hunting processes, and automation using Python or PowerShell. Secure Kubernetes, Docker, CI/CD pipelines, and infrastructure-as-code deployments. Perform L3 troubleshooting, investigations, root cause analysis, governance support, documentation, and mentoring of junior analysts.

Advises clients on identifying, designing, implementing, and governing AI capabilities across Dynamics 365, Power Platform, SharePoint, and Microsoft 365. The consultant facilitates discovery workshops, translates business needs into AI-enabled solutions, configures Copilot and Copilot Studio, supports AI agents and automations, contributes to proofs of concept, and assists with customer engagement, demonstrations, governance, and pre-sales activities.

Consulting role to identify, design and implement AI-enabled solutions across Dynamics 365, Power Platform, SharePoint and Microsoft 365. Lead AI strategy, run discovery workshops, design Copilot and generative-AI integrations, support PoCs and advise on AI governance and adoption alongside project teams.

Embed with enterprise clients to architect, prototype, and deploy agentic multi-agent AI systems and RAG workflows. Re-engineer business processes into human-in-the-loop and autonomous AI workers, integrate cloud, data pipelines, and frontier LLMs, and advise executives on rollout and risk-managed adoption.

Design, build and optimise cloud data platforms and lakehouse solutions on Microsoft Azure and Microsoft Fabric. Develop scalable ETL/ELT pipelines, data models, and transformations using SQL, Spark and Python. Implement data governance, security, CI/CD and collaborate with stakeholders to enable analytics, reporting and AI use cases.