Top Tech Jobs & Startup Jobs in Melbourne

Develop and maintain integrated applications and infrastructure aligned with business requirements and service-level agreements. Define and review technical requirements for integration, performance, quality, and scalability. Collaborate with cloud operations teams on infrastructure capacity and KPI monitoring while developing expertise in API development, data integration, integration architecture, and system integration testing.

Finance Business Partner responsible for commercial reporting, forecasting, budgeting, P&L management, variance analysis, business cases, promotional ROI, and performance insights. The role partners with category directors, commercial leaders, suppliers, and operational teams to influence investment and trading decisions. It also supports manufacturing finance, process automation, planning-system migration, executive reporting, risk and opportunity management, and mentoring of finance team members.

Supports commercial finance business partnering through financial reporting, modelling, forecasting, budgeting, variance analysis, category P&L analysis, business cases, and dashboard data quality. The role analyzes promotions, supplier performance, inventory, customer investments, and strategic initiatives while maintaining planning systems, reporting workflows, and risk-and-opportunity registers. It collaborates with onshore finance partners, reporting teams, Finance IT, and commercial stakeholders to deliver accurate, timely insights and recommendations.

Finance Business Partner supporting beverage category leadership through commercial reporting, forecasting, budgeting, P&L management, business cases, promotional ROI analysis, supplier performance, and strategic decision-making. The role develops executive insights, identifies risks and opportunities, challenges commercial assumptions, leads performance reviews, supports planning-system improvements, and mentors finance team members. It requires extensive finance business partnering experience in commercial, wholesale, merchandise, CPG, or product-driven environments.

Design, develop, fine-tune, deploy, and maintain scalable AI solutions focused on LLMs and Generative AI. Build model training, evaluation, and deployment pipelines; integrate APIs and cloud AI platforms; monitor production performance; and collaborate with stakeholders to translate business needs into reliable technical solutions.

Develop and maintain secure CI/CD pipelines for AI/ML workflows, integrate security across model lifecycles, monitor AI/ML infrastructure and data pipelines, assess vulnerabilities, and ensure compliance with security and privacy standards. Collaborate with data scientists, AI engineers, and IT teams to deliver secure, reliable, and scalable AI/ML operations.

Design, develop, and deploy AI-powered applications using LLMs, Generative AI, AI agents, and full-stack technologies. Build scalable front-end and back-end solutions, integrate APIs and data services, develop agent workflows, and optimize performance, reliability, security, and observability. Collaborate with stakeholders on architecture and technical decisions while evaluating emerging AI technologies and applying responsible AI practices.

Leads enterprise ServiceNow platform architecture across ITSM, Virtual Agent, ITOM, workflows, integrations, configuration governance, and go-live readiness. Oversees multi-vendor delivery, manages risks and milestones, facilitates executive stakeholder workshops, documents architecture decisions, and transitions solutions to operational support teams. The role also guides Azure and observability integrations while applying SRE, managed services, and operational runbook practices.

Monitor and investigate security alerts across enterprise environments, analyze SIEM and endpoint telemetry, support incident response, tune and develop detections, perform threat hunting, review vulnerabilities, and communicate findings to customers. The role also contributes to automation, process improvement, security visibility, and rotating after-hours escalation support.

Lead design and deployment of advanced AI solutions for enterprise clients, overseeing complex implementations and mentoring engineers in a client-facing role.