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.

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.

Provides senior technical pre-sales leadership for enterprise, public-sector, and commercial customers in Melbourne. Designs hybrid and multi-cloud architectures, leads technical discovery, presents solutions to technical and executive audiences, runs proofs of concept, supports competitive evaluations, advises customers on cyber resilience and data protection, and partners with account teams to qualify and win opportunities.

Support alliance managers, solution providers, and managed service partners across Australia by delivering cybersecurity enablement, technical training, demonstrations, proof-of-concept guidance, accreditation support, and opportunity assistance. Build trusted partner relationships, promote CrowdStrike’s cloud-native security platform, improve partner technical independence, support joint sales initiatives, and identify professional services opportunities. The role requires security architecture knowledge, strong communication, consulting or sales engineering capability, AI technology experience, and travel to partner locations.

Develop and maintain enterprise-grade C# and .NET applications, RESTful APIs, event-driven microservices, and distributed systems on AWS. Design PostgreSQL schemas, optimize queries, and support high-volume workloads across the full software development lifecycle. Collaborate with product owners and architects while meeting compliance, security, resiliency, and service-level requirements. Use and evaluate AI-assisted development tools responsibly for coding, testing, refactoring, documentation, and automation.

Develop and maintain high-fidelity detections across identity, endpoint, SIEM, and operating-system environments. Conduct hypothesis-driven threat hunts across large-scale telemetry, translate threat intelligence and investigations into detection rules, tune detection efficacy, investigate ambiguous attacker activity, and escalate likely intrusions with clear incident reports. The role also involves building hunting queries and dashboards, contributing to security content, and validating AI-assisted analysis and detection workflows.

Owns the full sales cycle for Azure and AI opportunities across digital-native customers. Builds pipeline, develops territory plans, engages executive and technical stakeholders, positions Microsoft cloud solutions, coordinates cross-functional teams, facilitates pilots and proofs of concept, delivers accurate forecasts, and drives Azure, AI, data, analytics, and cloud platform adoption.

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.

Supports secure enterprise Wintel infrastructure in Australian Government environments. Responsibilities include implementing security controls, uplifting security posture, maintaining procedures, testing configurations, implementing Essential Eight strategies, automating administration and vulnerability assessments, and remediating cybersecurity risks. The role requires current NV2 or TSPV clearance and onsite work in ACT or VIC.

Responsible for operating, designing, and maintaining large-scale mechanical infrastructure in Microsoft data centers. Acts as the technical authority for cooling and other critical systems, supports 24/7 operations, develops designs from concept through construction, coordinates maintenance and safety procedures, and oversees mechanical suppliers. The role also requires collaboration across IT, critical environments, operations, and design teams while maintaining safety, security, compliance, and service reliability.

Leads strategic enterprise sales conversations for Azure cloud and AI transformation across financial services customers. Owns complex opportunities spanning infrastructure, data, applications, AI, and developer platforms from discovery through commitment, deployment, adoption, and expansion. Builds executive relationships, business cases, pipelines, forecasts, and territory plans while coordinating solution engineers, customer success teams, Microsoft engineering, and partners.

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.

Provides L3 support for critical global applications across Windows, Linux, middleware, databases, containers, networking, and cloud environments. Leads on-call incident response, performance tuning, monitoring, automation, application deployment, centralized logging, and permanent outage remediation. Collaborates with development and architecture teams to modernize infrastructure, improve reliability, migrate systems, and reduce costs. Maintains operational documentation and mentors team members.

Design, develop, test, deploy, support, and improve enterprise-scale .NET applications. Participate in L3 on-call support, troubleshoot production incidents, conduct root cause analysis, and resolve complex technical challenges. Contribute to engineering standards and continuous improvement while collaborating with stakeholders and mentoring junior developers in an Agile and DevOps environment.

Leads software development across enterprise applications, providing technical direction for design, integration, delivery, testing, deployment, and maintenance. Partners with product owners and stakeholders on roadmaps and priorities, resolves complex software issues, and promotes secure, scalable engineering practices. Coaches and develops software engineering team members while supporting recruitment, performance, collaboration, and continuous improvement.

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

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.

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.

Develop and maintain large-scale Azure networking services, including IP address, metadata, configuration management, and authoritative network design systems. Diagnose network issues and performance bottlenecks, create practical technical solutions, collaborate with Microsoft teams and industry partners, and work with customers to improve networking experiences across Azure’s global data center infrastructure.

Graduate Data Engineers will help build and maintain cloud-based data platforms and products. Responsibilities include developing Python and SQL data pipelines, performing ETL/ELT, supporting Databricks and Snowflake solutions, improving data quality and governance, troubleshooting issues, and contributing to analytics and AI-enabled capabilities. The role includes mentoring, consulting exposure, stakeholder collaboration, and learning modern data engineering, machine learning, and generative AI technologies.

Administer and improve Windows Server and Microsoft Azure infrastructure across production, disaster recovery, test, and client environments. Responsibilities include provisioning, monitoring, incident response, patching, vulnerability remediation, security hardening, backup and recovery, automation with PowerShell, privileged access support, documentation, and disaster recovery readiness. The role also supports client onboarding, infrastructure integrations, third-party platforms, change management, and after-hours maintenance while collaborating with global technical teams.

Leads a customer success team of cloud solution architects driving AI and cloud transformation with Microsoft technologies. Develops customer roadmaps, accelerates Copilot and Power Platform adoption, delivers measurable business value, manages executive relationships, resolves technical and business blockers, and improves retention and expansion. Oversees people managers, develops talent, shapes cloud and AI methodologies, and provides technical thought leadership on secure, resilient, AI-enabled architectures.

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.

Lead DevOps implementation across AWS and Azure, designing infrastructure as code with Terraform, managing CI/CD pipelines, configuration management, Kubernetes deployments, containerization, and automation. Mentor developers, promote DevOps practices, document solutions, and collaborate across engineering teams. Australian citizenship and 3–5 years of continuous residency are required; active security clearance is preferred. HashiCorp Vault, OpenShift, and AI agent experience are advantageous.