Top Azure Jobs in Melbourne

Drive growth within existing enterprise accounts by identifying and closing new business opportunities, expanding into new lines of business, prospecting technical and executive stakeholders, building customer relationships, and managing complex sales processes. Collaborate with solution architects, professional services, customer success, and channel partners to maximize deal value and customer adoption. The role is hybrid in Melbourne, requiring three office days per week.

Leads complex Microsoft Cloud and AI strategic pursuits across Asia as a Deal CTO and technical sales leader. Shapes customer business and technology strategy, commercial commitments, Azure consumption models, ROI/TCO cases, executive relationships, and execution readiness. Coordinates virtual teams across sales, engineering, partners, and corporate functions while coaching others and creating repeatable approaches for regional strategic opportunities.

Designs enterprise file and object storage architectures for AI, analytics, data lake, and enterprise workloads. Partners with customers on solution sizing, data flows, performance, scalability, and protection requirements; leads technical workshops, benchmarks, and proofs of concept; and presents recommendations to technical and executive audiences. The role supports presales engagements, RFIs/RFPs, competitive positioning, and product roadmap feedback while requiring expertise in S3, NFS, SMB, AI/RAG pipelines, and modern storage platforms.

Manage and troubleshoot cybersecurity services within DXC’s secured infrastructure team. Responsibilities include onboarding services, supporting high-priority infrastructure and security incidents, maintaining security configurations and compliance, meeting managed-service SLAs, implementing project requirements, automating administrative tasks, and coordinating with vendors. The role requires IT/OT security operations experience, cloud knowledge, firewall, proxy, and email security expertise, incident response capability, and Australian citizenship with National Police Clearance eligibility.

Principal Engineer responsible for architecting, building, testing, and supporting a customer-facing CRM platform. Leads peer engineers, drives technical decisions, delivers greenfield solutions, improves CI/CD throughput, and collaborates with product, UX, marketing, customers, and integration partners. The role involves full-stack development, cloud services, mixed datastores, API design, platform stability, and continuous delivery within a distributed, collaborative team.

Lead partner-sourced revenue across Australia and New Zealand by developing strategic alliances with system integrators, cloud providers, distributors, resellers, and technology partners. Responsibilities include joint business planning, partner recruitment and enablement, co-selling, pipeline generation, executive relationship management, forecasting in Salesforce, QBRs, commercial negotiations, and collaboration on cloud, DevSecOps, and cybersecurity initiatives.

Leads solution architecture across GHD’s Project Delivery domain, connecting business capabilities, applications, data, and integrations. Owns architecture roadmaps, defines reusable design patterns and API-led integrations, reviews designs, manages technical risks and debt, and advises business and technology leaders. The role also coaches architects and technical leads while guiding complex initiatives from discovery through implementation and operational transition.

Leads the design, engineering, lifecycle management, and operational support of Azure, AWS, hybrid cloud, and data center networking services. Responsibilities include network architecture, routing, DNS, segmentation, connectivity, observability, reliability, automation, IaC, incident escalation, governance, cloud transformation, and technical leadership across enterprise technology teams and partners.

Design, operate, and improve reliable cloud services across their full lifecycle. Monitor production systems, investigate incidents, reduce toil through automation, and drive improvements in reliability, resilience, scalability, observability, and operational excellence. Partner with product and platform teams on cloud architecture, continuous delivery, security, and service-level objectives. The role includes on-call, standby, and off-hours support in a distributed remote environment.

Owns complex customer and partner support cases across SaaS and on-premise products. Responsibilities include triage, SQL-based data troubleshooting, log analysis, root-cause investigation, defect escalation, production monitoring, incident response, customer communication, knowledge development, and support automation. The role uses Claude, Intercom AI, workflows, and other automation tools while maintaining human accountability for technical conclusions. Participation in an out-of-hours on-call rota and occasional travel is required.

Hands-on Engineering Manager leading a team of 4–6 engineers while contributing technically. Responsibilities include coaching, Agile/Scrum delivery, software design and coding practices, roadmap planning, stakeholder communication, quality improvement, and delivery metrics. The role requires full-stack development, cloud-based SaaS experience, web and API development, DevOps and SRE knowledge, and experience with testing and automation.

Designs, deploys, and operates scalable, secure, reliable, and cost-effective cloud landing zones on GCP and Azure. Responsibilities include cloud architecture, infrastructure automation with Terraform or Ansible, security and governance, monitoring, cost optimization, troubleshooting, CI/CD support, documentation, and collaboration with infrastructure and engineering teams. The role requires hands-on cloud-native expertise across Kubernetes, Docker, microservices, and cloud operations.

Provide pre-sales technical expertise for networking solutions, including solution design, proof-of-concept execution, demonstrations, technical quoting, and partner enablement. The role designs secure and resilient enterprise networks across routing, switching, SD-WAN, cloud, segmentation, firewalls, VPNs, private wireless, and 5G. Responsibilities include managing technical sales activities, training partners and sales teams, collaborating with vendors, advising customers on best practices and compliance, and supporting field engagements with occasional interstate travel.

Designs, develops, and supports secure, scalable cloud integrations and APIs across enterprise platforms. Builds serverless workflows, messaging solutions, and fault-tolerant transaction processes; manages SQL databases, CI/CD pipelines, and Infrastructure-as-Code. Troubleshoots production incidents and Microsoft Dynamics 365 integrations, contributes to architecture and documentation, and collaborates with technical and functional stakeholders.

Leads client-facing cloud transformation engagements by shaping cloud strategies, architectures, migration and modernization roadmaps, and commercial solutions. Designs secure hybrid and multi-cloud environments across AWS, Azure, and Google Cloud. Partners with executives, sales, delivery, architecture, and technology partners to support major sales pursuits, develop cost models, communicate business value, and win new business.

Build and scale an enterprise AI Workspace through responsive React applications, Node.js and Python backend services, Azure deployment, enterprise authentication, AI integrations, and secure CI/CD practices. Create Power BI dashboards, data models, DAX measures, and Power Query transformations, while integrating reports with enterprise applications. Collaborate in Agile, DevOps-oriented global teams to deliver scalable, maintainable software and actionable business intelligence.

Leads a software engineering team responsible for internal applications, integrations, and engineering platforms. Sets technical direction, manages people and delivery, oversees software lifecycle practices, and ensures secure, reliable Azure operations. The role includes hands-on design leadership across APIs, databases, DevOps, CI/CD, infrastructure as code, application security, observability, and complex technical problem-solving.

Drive go-to-market execution and quota attainment for Fortinet’s AI security solutions across Australia. Build pipeline with account teams and partners, lead enterprise discovery, presentations, workshops, demonstrations, and strategic selling, and close complex multi-stakeholder deals. Advise customers on AI governance, runtime protection, guardrails, red-teaming, and shadow AI. Train sales teams and channel partners while engaging C-level security and AI decision-makers.

Leads pre-sales technical execution for AI security solutions across Australia. Responsibilities include technical discovery, architecture reviews, demonstrations, proof-of-concept support, customer deployments, partner enablement, sales engineer training, demo environment management, and post-sales handoffs. Builds relationships with technical decision-makers, supports cloud and self-hosted AI deployments, and evangelizes secure agentic AI practices.

Support MSP and MSSP partners through technical training, certifications, workshops, demos, proofs of value, solution design, and service integration for NodeZero offerings. Develop enablement collateral and repeatable cybersecurity services, advise partners on offensive security and threat landscapes, collaborate with sales and product teams, and provide feedback for product improvements. The role is fully remote, focused on Singapore partners, and may require up to 50% travel.

Own complex software features end to end, from architecture and development through testing, deployment, and production support. Build scalable full-stack solutions with C#, .NET, and React while contributing to cloud-native delivery, CI/CD, observability, automated testing, security, and technical decision-making. Collaborate with product, design, and stakeholders, resolve technical risks, use AI-assisted engineering tools responsibly, and mentor or share knowledge with other engineers.

Leads a remote team of 10+ engineers building and operating AI-powered analytics products. Responsibilities include team development, hiring, performance management, technical strategy, architecture review, delivery execution, reliability, scalability, security, observability, cost optimization, and technical debt reduction. Partners with Product, Design, Architecture, Platform, SRE, InfoSec, and executive stakeholders while promoting AI-assisted engineering practices.

Own and evolve Avant’s Azure and Databricks data architecture, including target-state roadmaps, data models, integration patterns, governance, security, and design standards. Assess technical debt, assure partner-delivered solutions, and guide platform maturity and simplification. The role works across engineering, analytics, governance, cybersecurity, risk, and business teams while supporting APRA and privacy obligations and enabling trusted analytics and responsible AI.

Lead enterprise observability consulting engagements using Elastic and related platforms. Assess customer needs, design architectures, create roadmaps, oversee implementations, optimize data and clusters, conduct migrations and audits, and resolve complex platform issues. Lead workshops, mentor consultants, advise C-level stakeholders, support presales, manage strategic accounts, and collaborate with Engineering, Product, and Support. Requires deep observability, cloud, Linux, networking, automation, scripting, and consulting experience.

Design, build, and maintain full-stack web applications supporting AI-driven product discovery, search, recommendations, personalization, and consumer experiences. Lead frontend technical design, develop React and TypeScript components, integrate backend APIs and AI capabilities, optimize performance and reliability, and contribute to backend services. Mentor engineers, participate in technical reviews, and collaborate with product, design, data, AI, and engineering teams.