Top Azure Jobs in Melbourne

Leads enterprise sales engineering engagements from discovery through closed-won, including technical strategy, solution demonstrations, workshops, proof-of-value evaluations, stakeholder influence, and blocker resolution. Partners with account executives, product, support, and go-to-market teams to align Datadog solutions with customer outcomes. Documents deal progress, provides product feedback, mentors peers, and creates scalable enablement resources.

Lead technical pre-sales engagements by designing scalable MongoDB-based architectures, advising customers, conducting technical discovery, demonstrations, proofs of value, sizing, and presentations. Partner with sales teams on account strategy, pipeline generation, and demand creation while fostering customer success. Mentor team members, communicate product value to technical and business stakeholders, and support cloud, modernization, DevOps, database, and AI architecture initiatives.

Drive revenue growth within assigned enterprise accounts by building pipeline, prospecting into CTOs and engineering/IT leaders, closing complex deals, and partnering with Solutions Architects, Professional Services, Customer Success and channel partners to maximize deal size and satisfaction.

Designs and builds automation, detections, integrations, and cloud-native tooling for internal incident response and security operations. Partners with CSIRT and incident response teams to automate investigations, improve detection fidelity, reduce false positives, operationalize threat intelligence, and develop scalable response capabilities. The role requires software engineering, DevOps, cloud, infrastructure-as-code, security telemetry, and hands-on cybersecurity incident response experience.

Lead complex, multi-host intrusion investigations across endpoint, identity, and SIEM telemetry. Perform malware analysis, threat research, detection engineering, automation, and agentic workflow development. Own SOC quality, review analyst and AI output, improve detection and remediation, mentor analysts, and advise on SOC direction. Collaborate with Product, Engineering, and Threat Hunting while communicating technical risks to diverse audiences and publishing security research.

Build and improve core AI and machine learning infrastructure enabling teams to develop, train, evaluate, deploy, and operate ML models and pipelines. Design scalable distributed systems, support end-to-end ML lifecycles, implement MLOps automation, collaborate with product engineering teams, lead projects from design through launch, review code, document solutions, and mentor junior engineers. Work may include dataset curation, LLM fine-tuning, model serving, monitoring, and generative AI systems.

Deploys, configures, optimizes, and supports CrowdStrike Falcon’s AI-powered detection and response capabilities. The role develops automation playbooks and API integrations, tunes machine-learning detection models, troubleshoots customer issues, supports threat hunting and forensic analysis, integrates security workflows, and leads AI workshops. It also requires customer engagement, technical presentations, project prioritization, cross-functional leadership, and mentoring while applying cybersecurity, AI/ML, and platform deployment expertise.

Operate and support enterprise SD-WAN, SASE, firewall, cloud networking, and network security environments. Responsibilities include managing secure connectivity, security policies, routing, network incidents, changes, troubleshooting, incident response, root cause analysis, documentation, and on-call support. The engineer will work with engineering, architecture, and client teams, mentor junior staff, and contribute to service improvement across large-scale enterprise environments.

Serves as the Level 3 technical authority for Windows infrastructure, endpoint computing, Active Directory, Microsoft 365, Entra ID and Azure across internal and managed-service environments. Responsibilities include complex troubleshooting, client onboarding, migrations, security hardening, compliance audits, automation, incident and problem management, disaster recovery, technical documentation, and coaching junior engineers. The role requires strong Microsoft ecosystem expertise, managed services experience, client-facing escalation leadership, and occasional out-of-hours work and travel.

Advise customers and partners on Microsoft 365 Copilot and agentic solutions across deployment, adoption, usage, and expansion. Drive customer success plans, resolve technical blockers, demonstrate solution value, analyze business processes, and present complex concepts to business and IT decision-makers. Build executive relationships, manage opportunities and partner engagement, develop technical solutions, share best practices, and guide customers across Microsoft 365, Power Platform, Copilot Studio, Azure, security, compliance, and governance.

Monitor and support critical IT infrastructure, systems, and operational platforms in a 24x7 command centre. Investigate incidents, troubleshoot enterprise Windows and Linux environments, respond to cybersecurity alerts and vulnerabilities, and support cloud, virtualization, storage, and endpoint technologies. The role contributes to change implementation, major incident restoration, documentation, automation, and continuous improvement while collaborating with engineering, cybersecurity, vendors, and service delivery teams. Rotating shifts include nights, weekends, and public holidays.

Designs and delivers Microsoft Dynamics 365 Finance and Supply Chain Management solutions for enterprise customers. Leads discovery sessions, presales workshops, solution architecture, RFP responses, estimates, Statements of Work, and implementation roadmaps. Advises on integrations, data, security, reporting, governance, and Microsoft technologies while partnering with consulting, delivery, and technical teams. Supports architecture assurance, commercial engagement shaping, mentoring, and practice development.

Own Scyne’s Palo Alto network and secure-access architecture while leading technical change across network, cloud, security, and applications. Chair the Change Advisory Board, assess change risk, govern MSP and internal delivery, and ensure robust testing, rollback, security review, and reporting. Lead cloud deployment practices, vulnerability remediation, upgrades, incident and problem management, documentation, and continuous improvement across Azure, AWS, and GCP environments.

Own the architecture, security, governance, delivery, and ongoing health of a multi-cloud estate spanning Azure, AWS, and GCP. Lead infrastructure-as-code, CI/CD, cloud security controls, Azure integration services, cost management, incident response, and AI workload platforms. Direct the managed service provider, review changes and designs, maintain architecture standards, and ensure compliance with Australian government and international security frameworks.

Supports and maintains cloud-based data platforms, applications, pipelines, and production services. Responsibilities include incident troubleshooting, root cause analysis, ETL and data pipeline support, cloud deployments, code and deployment reviews, problem management, operational documentation, stakeholder coordination, and continuous process improvement. The role works extensively with Azure, Snowflake, Databricks, Python, SQL, DevOps processes, and orchestration technologies.

Supports and maintains cloud-based AI and data solutions, including pipelines, deployments, infrastructure, and production services. Troubleshoots incidents, performs root cause analysis, manages problem resolution, and implements corrective actions. Works with Azure, Snowflake, Databricks, DevOps, and orchestration technologies while maintaining operational documentation, SLAs, security controls, and continuous improvement. Collaborates with engineering, development, vendors, and business stakeholders to resolve technical issues and support reliable cloud operations.

Lead technical presales engagements for New Relic prospects and customers. Conduct discovery workshops, demonstrations, presentations, proofs of concept, and pilots; resolve technical objections; align observability solutions with customer business outcomes; and partner with account executives to drive revenue. Build executive and stakeholder relationships, provide product feedback, support marketing initiatives, and serve as a trusted technical advisor throughout the sales cycle.

Lead the design, development, and production operation of agentic AI applications. Build reliable AI systems with planning, tool use, context, memory, evaluation, security, and responsible AI controls. Partner with Product, Data, Platform, and Security teams on architecture, deployment, monitoring, and operational readiness. Provide technical leadership, mentor engineers, establish reusable engineering practices, and guide complex delivery across Azure, Databricks, and related platforms.

Owns the strategy, engineering, lifecycle management, security, automation, and operational excellence of Microsoft server platforms across on-premises, private cloud, and public cloud environments. Defines platform roadmaps, leads modernization and upgrade initiatives, manages risks and compliance, and provides technical leadership across operations, projects, governance, vendors, and stakeholders.

Own and improve enterprise cloud, endpoint, security, infrastructure, and networking systems. Design Azure, Microsoft 365, Intune, Azure Virtual Desktop, Zero Trust, and network solutions; lead infrastructure and security projects; monitor resilience and security; resolve complex incidents; document systems; and mentor junior IT staff. The role is onsite three to four days weekly in Camberwell with rare after-hours work for critical changes.

Drive technical success, adoption, and expansion for new Snowflake customers. Advise on data strategy, architecture, integrations, and platform activation; deliver implementation guidance using AI-powered development tools; create scalable enablement programs; collaborate with account, product, engineering, and partner teams; and represent Snowflake in customer workshops and industry events.

Build and deploy production-grade machine learning software, tools, infrastructure, and scalable solutions. Collaborate with engineers, data scientists, and commercial leads to solve client challenges, lead technical scoping and architecture decisions, define ML deployment standards, and advise customers and partners. The role requires expertise across the ML lifecycle, Python, software engineering, cloud infrastructure, containers, orchestration, and core machine learning concepts.

Designs and maintains reliable, scalable infrastructure using infrastructure as code. Automates deployment, monitoring, alerting, and incident response; manages cloud, container, logging, and CI/CD environments; investigates system issues; tracks SRE metrics; supports on-call operations; conducts post-incident reviews; collaborates with development teams; and mentors junior engineers.

Designs and leads enterprise container architecture across Azure, AKS, Kubernetes, and hybrid platforms for federal government environments. Responsibilities include container strategy, cloud modernization, platform governance, security, compliance, networking, observability, disaster recovery, CI/CD automation, and technical leadership. The role requires close alignment with Australian Government security frameworks, enterprise Azure Landing Zone standards, and Zero Trust principles while mentoring engineering teams and presenting recommendations to senior stakeholders.

Lead cyber threat detection and response across cloud, network, and endpoint environments. Design and tune SIEM/XDR detections, investigate alerts, conduct threat hunting and vulnerability assessments, and manage incident response. Administer security tooling, automate security operations with scripts and SOAR integrations, collaborate with IT and DevOps, enforce security policies and compliance standards, and produce operational documentation, dashboards, reports, and runbooks.