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.

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.

Coordinate end-to-end data acquisition, movement, and validation for Azure-based archival/migration programs. Manage access, ETL/UDP pipelines, QA, defect resolution, tracking, and stakeholder coordination to ensure production-ready datasets and cutover readiness.

Design, build, and deploy scalable, secure technology solutions across the full project lifecycle. Partner with stakeholders and Group Technology to produce architecture and integration designs, prototypes, and runbooks. Embed security by design, support testing and operational handover, evaluate platforms, and improve engineering and delivery practices to meet strategic business objectives.

Design, build, test, deploy, and support production-grade enterprise AI and agentic solutions using Python, .NET/C#, and Azure. Develop AI agents, RAG capabilities, orchestration workflows, APIs, and enterprise integrations, while applying security, privacy, governance, observability, resilience, and responsible AI practices. Senior engineers own technical outcomes, influence solution design, and mentor colleagues.

Designs and governs enterprise hybrid cloud, hosting, virtualization, identity, and platform architectures for Defence and national security customers. Develops technology roadmaps, reference architectures, migration strategies, operating models, and design patterns across AWS, Azure, and enterprise data centers. Leads architecture governance, technical assurance, workshops, and stakeholder engagement while guiding platform modernization, containerization, security, and infrastructure transformation initiatives.

Provides technical leadership across product teams while designing, building, testing, and supporting scalable applications. Develops AI capabilities including LLM integrations, agentic workflows, and intelligent automation. Champions TDD, automated testing, CI/CD, architecture, and clean-code practices. Coaches developers, guides AI-assisted engineering adoption, and collaborates with stakeholders to deliver secure, maintainable technical solutions.

Designs and deploys F5 Distributed Cloud and BIG-IP solutions across public, private, and hybrid cloud environments. Delivers secure application networking, API protection, and DDoS mitigation for global enterprise clients. Automates deployments with Terraform and Ansible while managing direct technical client relationships. Requires strong networking, security, Kubernetes, and AWS, Azure, or GCP expertise, plus excellent communication across distributed teams.

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.

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.

Design, build, and optimize scalable cloud data platforms, pipelines, data models, lakehouses, and warehouses using Microsoft Azure and Fabric. Integrate cloud and on-premises sources, develop transformations with SQL, Spark, and Python, and implement governance, security, quality, CI/CD, and performance controls. Collaborate with architects, analysts, data scientists, and stakeholders to support analytics, reporting, AI, and machine learning initiatives.

Advise clients on DevOps, DevSecOps, platform engineering, automation, and cloud transformation. Conduct maturity assessments, develop engineering transformation roadmaps, define standards and reference architectures, and lead implementation across the delivery lifecycle. Mentor engineering teams, support proposals and presentations, and build trusted relationships with technology and business stakeholders.

Lead the design, implementation, maintenance, and security of CFS’s scalable data platform infrastructure. Develop data engineering solutions, ETL processes, warehouses, ingestion patterns, and CI/CD pipelines using Azure, Databricks, Fabric, Terraform, Python, and SQL. Provide technical strategy, code reviews, guidance, documentation, testing, and stakeholder collaboration while ensuring performance, governance, compliance, disaster recovery, and reliable data delivery across the organisation.

Manage and improve secure enterprise infrastructure across Azure, on-premises, virtualized, and hybrid environments. Administer Windows Server, Active Directory, Entra ID, Linux, VMware, backup, and disaster recovery systems. Drive patching, monitoring, vulnerability management, identity controls, compliance with APRA requirements, and operational resilience. Support change, incident, problem, audit, and risk activities while mentoring junior team members.

Lead complex technology projects for enterprise clients, managing technical teams, vendors, stakeholders, schedules, budgets, risks, quality, and delivery outcomes. Apply hybrid, waterfall, Scrum, Agile, Kanban, and DevOps methodologies. Facilitate requirements workshops, maintain project governance and reporting, drive roadmaps, and improve delivery frameworks. Projects may involve Azure infrastructure, data, security, infrastructure as code, and DevOps technologies.

Lead client engagements involving Azure cloud and DevOps assessments, architecture, solution design, implementation, automation, and optimization. Deliver proofs of concept, workshops, cloud adoption activities, technical reporting, and cost estimates. Advise clients on scalable, secure, reliable Azure solutions using Terraform, IaC, scripting, and DevOps practices. Contribute to hiring, mentor consultants, and influence governance, processes, and documentation across the practice.