Top Technology Jobs & Startup Jobs in Sydney

Conducts threat intelligence analysis for internal and customer-facing investigations. Supports attribution and actor modeling, analyzes adversary infrastructure and tactics, develops emerging threat clusters, and applies cloud, identity, endpoint, log, and network telemetry. Provides intelligence support to incident response teams, improves Microsoft products based on observed exploitation, briefs technical and executive stakeholders, and feeds investigation findings into threat actor tracking efforts.

Leads AI and agentic-platform transformation for strategic mobility and manufacturing customers. Builds CxO relationships, defines transformation opportunities and roadmaps, develops and closes account-based revenue opportunities, and orchestrates Microsoft account, engineering, studio, partner, and customer teams through production and value realization. The role also supports co-innovation, reusable solution development, thought leadership, and industry strategy.

Lead customer-facing technical pre-sales engagements focused on Azure cloud adoption, infrastructure modernisation, AI readiness, networking, security, and hybrid environments. Design secure, scalable, resilient architectures; deliver workshops, demonstrations, proofs of concept, and pilots; and guide enterprise customers through migration, cloud-native technologies, Kubernetes, automation, and platform engineering. Collaborate with Microsoft sales, engineering, partner, and services teams to create compliant solutions and measurable business outcomes.

Lead go-to-market planning and execution for datacenter expansion in Australia/New Zealand. Build multi-year growth plans, drive pipeline and anchor tenant acquisition, align engineering and product features to customer needs, develop business cases, orchestrate cross-functional stakeholders, and support PR and marketing for datacenter launches.

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.

Handles moderate to highly complex customer and partner escalations involving Microsoft products and services. Acts as the primary customer contact, investigates issues, provides status updates, coordinates internal engineering and operations teams, removes resolution barriers, manages expectations, and mentors team members. The role requires strong judgment, communication, stakeholder management, prioritization, problem-solving, Microsoft product knowledge—especially Dynamics—and the ability to manage sensitive issues under pressure.

Design, build, test, deploy, and operate secure, scalable production software and services. Partner with customers and stakeholders to translate business needs into technical solutions, lead technical workstreams, establish engineering best practices, and deliver reusable components. The role also involves applying AI and LLM technologies, collaborating across disciplines, and traveling up to 25%.

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.

Provide technical escalation support for complex Azure/AWS cloud application and infrastructure issues. Own critical customer escalations, troubleshoot IaaS/PaaS and App Services, drive resolution, mentor peers, improve product and support processes, and coordinate with account and engineering teams to prevent and resolve high-risk incidents.