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.

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.

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.

Design and deliver scalable data pipelines, models, and reusable solutions using Microsoft Fabric and Azure technologies. Apply AI, automation, DevOps, security, privacy, governance, and data-quality practices to large enterprise datasets. Partner with stakeholders to define requirements, manage delivery risks, and produce reliable data solutions. Provide technical leadership, coach engineers, and advance data engineering standards and practices.

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.

Originate, qualify, and close Microsoft consulting, ISD, and Unified support services opportunities across government/public‑sector healthcare accounts in VIC/NSW/QLD. Build account plans, maintain pipeline and CRM hygiene, orchestrate cross‑functional pursuit teams, navigate public‑sector procurement, and deliver against quarterly and annual revenue and consumption targets.

Senior Azure Customer Experience Engineer responsible for resolving critical cloud issues, performing root-cause analysis, managing escalations, advising customers on Azure deployments and configurations, and conveying customer feedback to product and engineering teams to improve service reliability.

Build, test, and maintain backend services and APIs supporting Megaport’s global connectivity platform. Work with Java, Kotlin, Spring Boot, databases, messaging, caching, Kubernetes, and AWS. Translate business requirements into reliable technical solutions, collaborate with engineering and product stakeholders, participate in code reviews and mentoring, and improve architecture, processes, and technical debt.

Leads the strategy, engineering, governance, and operational excellence of cloud networking, secure access, and network security services. Oversees Azure networking, hybrid connectivity, firewalls, data center technology, automation, Infrastructure as Code, AIOps, vulnerability remediation, incident escalation, supplier relationships, and service improvement. The role also mentors engineering teams, drives security and reliability transformation, and partners with architecture, cloud, cybersecurity, and service management teams.

Own strategic public sector accounts, expanding existing relationships and acquiring new government customers. Lead complex, multi-year cloud, data, analytics, and AI programs; manage procurement, tenders, agreements, compliance, and sovereignty requirements; engage senior government executives; coordinate cross-functional account teams and partners; drive migrations to Snowflake; and manage forecasting and deal strategy using MEDDPICC.

Design, build, and manage Snowflake data solutions, including scalable data architectures, data products, pipelines, ETL/ELT processes, data models, and cloud integrations. Optimize performance, storage, retrieval, security, and RBAC across Snowflake environments. The role requires advanced SQL, proficiency in Python, Java, or Scala, cloud platform experience, data warehousing expertise, and strong communication skills while delivering client-facing data transformation initiatives.

Serve as a trusted technical advisor for enterprise cybersecurity customers and prospects. Lead solution evaluations, platform demonstrations, technical presentations, and strategic consultations across the customer lifecycle. Translate customer security needs into platform capabilities, collaborate with Product, Engineering, Marketing, Channel, and Customer Success, support partner relationships, provide product feedback, and represent the company at industry events. The role requires strong cloud, cybersecurity, networking, AI, architecture, communication, and public-speaking skills.

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.

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.

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.

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.