Top Azure Jobs in Melbourne

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.

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.

Leads technical presales engagements for New Relic’s observability platform. Partners with account executives to qualify opportunities, conduct discovery workshops, deliver demonstrations and proofs of concept, resolve technical objections, and align solutions to customer business outcomes. Builds executive and stakeholder relationships, supports revenue goals, provides product feedback, and contributes to marketing activities and competitive positioning.

Leads regional ICT strategy, infrastructure, cloud, network, identity, endpoint, vendor, and service operations for Shield AI’s Australian hub and Asia-Pacific/Middle East programs. Ensures sovereign data handling, export-control compliance, classified-environment access controls, cybersecurity, resilience, and accreditation. Manages a technical team, budget, vendors, IT assets, site deployments, executive support, and customer engagements while aligning Australian requirements with US enterprise standards.

Develop, deploy, and improve distributed big-data pipelines for data ingestion, fusion, machine learning, and network analysis. Lead end-to-end data engineering solutions, improve scalability and reliability, support security and compliance reviews, and serve as a technical expert in customer engagements. Collaborate with engineering, data science, product, and public-sector stakeholders while evaluating tools and mentoring teams.

Leads and grows an AI Deployment Engineering team responsible for delivering agentic AI implementations, customer adoption, and measurable business outcomes. Owns portfolio roadmaps, staffing, delivery standards, technical quality, customer relationships, and cross-functional coordination. Establishes reliable, safe, auditable deployment practices and remains technically hands-on with agent architecture, evaluations, integrations, and production troubleshooting.

Designs and deploys agentic AI workflows and integrations for enterprise customers. Leads implementations from scoping through adoption, builds APIs and automations, configures data connections and guardrails, evaluates agent performance, and manages human-in-the-loop processes. Acts as the primary technical customer contact while coordinating engineering, data science, product, and customer success teams. Owns implementation roadmaps, requirements, acceptance criteria, documentation, and measurable delivery outcomes.

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.

Designs resilient infrastructure and network architectures across Azure, GCP, on-premises, and hybrid environments. Develops target-state roadmaps, architecture designs, governance artefacts, standards, and options papers. Guides proposals through architecture review forums, evaluates cost and risk, and collaborates with enterprise architecture, engineering, cybersecurity, network, risk, and business stakeholders to resolve complex infrastructure challenges.

Design, build, test, deploy, and support production software across the full stack. Develop applications, APIs, integrations, automation, and AI-powered workflows using TypeScript, Node.js, Python, and related technologies. Troubleshoot Linux and distributed systems, improve CI/CD, security, observability, and operational reliability, and integrate cloud, container, infrastructure-as-code, and platform services. Own software end to end from design through production support and continuous improvement.

Develop software features and bug fixes, write clean and tested code, participate in code reviews, debug issues, document solutions, and collaborate with automation testers and cross-functional teams. The role involves working on well-defined tasks, supporting senior engineers, following Agile/Scrum practices, and continuously developing technical skills while using .NET, Node.js, cloud platforms, and potentially React or Angular.

Designs, develops, integrates, tests, deploys, and supports Microsoft Dynamics 365 Finance and Supply Chain Management solutions. Builds X++ extensions, integrations, reports, workflows, data migrations, and warehouse/manufacturing capabilities. Manages Azure DevOps, LCS, environments, releases, testing, documentation, and go-live support while collaborating with functional consultants, architects, technical teams, and stakeholders across distributed Australia and New Zealand projects.

Leads Microsoft Azure sales and account growth for mid-stage startups and ISVs. Builds executive relationships, develops joint business and account plans, identifies new opportunities, orchestrates cross-functional Microsoft and partner teams, and drives cloud adoption, revenue, consumption, and customer transformation outcomes. Requires consultative selling, technical cloud understanding, digital transformation expertise, pipeline management, strategic planning, and the ability to engage business and technical decision-makers.

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.

Lead architecture and implementation of Red Hat OpenShift Virtualization and OpenStack solutions for enterprise customers. Design production-grade infrastructure, guide virtualization migrations, conduct assessments and workshops, deliver proofs of concept, and advise senior stakeholders. Collaborate with product, engineering, services, and sales teams while developing architectural best practices, thought leadership, and reusable assets. The role requires deep expertise in virtualization, Kubernetes, OpenShift, OpenStack, Linux, networking, datacenter infrastructure, and customer-facing consulting.

Design, build, test, deploy, and monitor enterprise AI/ML solutions and agentic workflows across Azure and Databricks. Develop production-quality Python, C#, and SQL code, MLOps pipelines, model evaluation and monitoring systems, and governed AI platforms. Collaborate with architecture, security, governance, platform, product, and business teams while contributing to documentation, engineering standards, code reviews, responsible AI, FinOps, and mentoring junior engineers.

Lead LogicMonitor monitoring and observability platform uplift, remediation, automation, and standardization for complex enterprise clients. Deliver contractual outcomes supporting renewals, act as a senior escalation authority, manage client-specific requirements, mentor engineers, and ensure service continuity and onshore capability commitments.

Provide Tier 2 cloud production support for Azure-hosted applications and infrastructure. Triage and resolve incidents across app, DB, network, and infra; support containers/Kubernetes, CI/CD deployments, and SQL troubleshooting; manage incidents in ServiceNow; create operational docs and support occasional scheduled weekend activities.

Provide Level 1 and Level 2 IT support across productivity tools, identity systems, hardware, and networks. Assist employees with corporate AI tools, prompt engineering, AI documentation, and usage guardrails. Identify repetitive support tasks and build automated workflows, chatbots, and shortcuts using AI and automation platforms. Monitor systems and analyze ticket trends to identify opportunities for improved efficiency.

Designs and manages Azure-based DevOps practices, including scalable CI/CD pipelines, infrastructure as code, cloud automation, container orchestration, monitoring, security, disaster recovery, and release management. Collaborates across development, QA, and operations teams to improve deployment reliability and performance, implements automated testing, establishes governance, and mentors junior engineers.

Designs, builds, automates, secures, monitors, and supports Azure Kubernetes Service platforms and related cloud infrastructure. The role uses Terraform, Azure DevOps, GitHub, Helm, CI/CD, GitOps, and DevSecOps practices while collaborating with engineering, infrastructure, and security teams to deliver scalable, reliable cloud platforms.

Maintain availability, security, and performance of SQL Server and PostgreSQL environments. Perform installations, upgrades, patching, backups, recovery, replication, clustering, and disaster recovery. Support migrations (on-premises→cloud, SQL Server→PostgreSQL), troubleshoot performance and connectivity, contribute automation via Ansible/GitHub Actions and scripting, work with cloud/DevOps/app teams, and maintain documentation and standards.

Leads technology risk and controls assurance across Technology, Digital and Data. Coordinates control testing, evaluates design and operating effectiveness, identifies deficiencies, supports remediation, analyzes GRC trends, and reports findings to technology leaders and governance forums. Partners with risk, assurance, and control owners to strengthen risk practices and translate regulatory requirements into improved controls.