Top Tech Jobs & Startup Jobs in Melbourne

Lead engineering teams to improve Azure Storage service quality, resiliency, chaos engineering, and validation infrastructure. Integrate AI tools and Responsible AI across the SDLC, coordinate cross-team plans, resolve complex incidents, and ensure scalable performance and best practices.

Manage sensitive and escalated customer and partner issues, coordinating internal teams, vendors, and stakeholders to drive resolution. Lead strategic projects, mentor support managers, improve resolution processes, identify recurring issues, establish protocols, and communicate with senior and C-level stakeholders. The role requires Microsoft product expertise, cloud certification, incident and escalation management experience, and successful completion of Microsoft’s Cloud Background Check.

Lead design and delivery of scalable, reliable backend services for Azure infrastructure. Own distributed-system design, implementation, testing, and operations. Drive incident response, on-call rotations, observability, automation, code reviews, and mentor engineers to improve reliability and operational excellence.

Develop and maintain reliable, secure cloud software and ML infrastructure for Azure operations. Responsibilities include gathering requirements, contributing to architecture, coding, code review, testing, deployment, telemetry integration, data analysis, live-service operations, on-call support, automation, and security and compliance improvements. The role emphasizes AI-powered operational autonomy, extensibility, maintainability, and collaboration across Microsoft teams.

Partners with technical teams to develop secure, scalable Microsoft cloud solutions. Leads architecture sessions, proof-of-concepts, innovation workshops, sales enablement, and migration from legacy systems. Advises partners on Azure, Microsoft 365, Dynamics 365, Copilot, Defender, Purview, governance, data access, performance, and cost optimization while building executive relationships and driving cloud adoption, consumption, and revenue outcomes.

Develop and lead customer AI and security strategies, align Microsoft technology solutions with business objectives, and drive adoption, partner co-selling, consumption, and account growth. The role acts as a trusted technology advisor, leads cross-functional solution discussions, applies industry expertise, identifies market opportunities, and supports digital transformation initiatives across enterprise accounts.

Lead technical sales engagements for enterprise financial services customers, designing secure, scalable Agentic AI and cloud-native application architectures on Azure. Conduct workshops, live demonstrations, whiteboarding, rapid prototypes, proofs of concept, and pilots. Advise technical and business stakeholders, resolve technical blockers, influence architecture decisions, and drive production-scale deployments using Microsoft AI services, agent development platforms, application modernization technologies, and cloud-native development practices.

Manage transition of new datacenters into Operations as the single point of contact across engineering, construction, and commissioning. Plan and oversee transition activities, coordinate stakeholders, support site mobilization, perform acceptance walks, review turnover documentation, engage suppliers, and capture lessons learned to ensure operational readiness and compliance.

Provides technical presales and consulting support for Microsoft AI and cloud solutions. Engages customers and partners, leads technical discussions, develops account and consumption strategies, demonstrates architectures, oversees proofs of concept, and drives technical wins. Advises on security, compliance, migrations, integrations, and digital transformation while relaying competitive insights to product and engineering teams.

Provides technical support for SharePoint, Microsoft 365, Office, Teams, OneDrive, Exchange Online, and Copilot. Responsibilities include investigating and resolving complex customer issues, troubleshooting identity, permissions, licensing, performance, and configuration problems, meeting support SLAs, documenting resolutions, escalating defects, and collaborating with engineering teams. The role also contributes to automation, readiness programs, mentoring, product improvements, and secure AI and Microsoft 365 configuration practices. Flexible evening and weekend shifts may be required.