Top Tech Jobs & Startup Jobs in Melbourne

Lead delivery and engineering of cloud-based AI solutions (Azure/AWS). Provide technical leadership across design, architecture governance, CI/CD, IaC, security, DevOps, and production readiness. Coordinate onshore/offshore teams, manage risks and stakeholders, mentor engineers, and ensure scalable, secure, high-quality AI deployments.

The Data Engineer will design, build, and manage scalable data pipelines on GCP, ensuring data quality and operational excellence while collaborating with data teams.

Lead ServiceNow platform strategy, governance and delivery across managed services. Manage a team of administrators and developers, drive automation, integrations, security, and continual improvement. Partner with stakeholders, manage vendors, budgets and presales support, and ensure platform scalability, compliance and operational excellence.

The Senior Pega Developer will design, develop, and implement Pega applications, collaborating with cross-functional teams, ensuring code quality, and integrating with other systems.

Mid-level full-stack engineer to design, build, and maintain .NET microservices and front-end UIs on AWS. Work in an agile product team using DevOps, CI/CD, automated testing, containerisation, and observability to deliver reliable features and support deployments and troubleshooting.

Seeking a D365 Technical Consultant with strong skills in Dynamics 365, .NET, and Azure to deliver scalable solutions for clients. Must have exceptional communication and consulting experience.

Lead sales and presales efforts for Microsoft Business Central, focusing on AI integration and ERP transformation for mid-market and enterprise customers.

The Microsoft Sales Specialist drives Microsoft revenue growth by managing account strategies, leading sales processes, and maintaining customer relationships to ensure satisfaction and growth.

Drive AI strategy and transformation by identifying high-value AI opportunities, defining roadmaps, operating models, and governance, facilitating workshops, building business cases, and supporting adoption, change management, and value realisation across business and technology stakeholders.

Lead client engagements to define and execute enterprise AI strategies, operating models, governance, and transformation roadmaps. Identify and prioritise high-value AI use cases, build business cases, drive adoption, mentor teams, and ensure measurable business outcomes across growth, efficiency, customer experience, and risk management.