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.

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.

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.

Leads technical sales and solution incubation for AI and application modernization opportunities. Partners with customers, sales teams, engineering, product groups, and partners to identify opportunities, build business cases, demonstrate solutions through architectures and proofs of concept, remove adoption barriers, and accelerate revenue. Acts as a trusted advisor to senior stakeholders, creates reusable sales and ROI assets, provides field enablement, and influences product roadmaps through customer and market insights.

Leads Zelora’s technology landscape, solution architecture, software delivery, AI implementation, and technology governance. Provides technical leadership to internal teams and external partners, establishes engineering standards, designs secure and scalable architectures across applications, integrations, cloud, and data platforms, and translates business needs into practical solutions. Drives AI-enabled automation, secure-by-design practices, continuous improvement, vendor oversight, and alignment with security, privacy, compliance, and business strategy.

Lead and modernize Finance & Risk technology platforms, ensuring resilience, secure engineering practices, and compliance with regulatory standards. Drive strategic architecture and improvements in system reliability and data integrity.

Leads the design, operation, security, reliability, and continuous improvement of enterprise server, hosting, datacentre, edge, and Azure/AWS infrastructure. Manages a team of 10+ engineers, provides technical direction, oversees implementations and Level 3 incident resolution, drives automation and resilience, and contributes to infrastructure strategy, roadmaps, budgets, compliance, disaster recovery, and vendor management across a large multi-site environment.

Architect scalable enterprise data platforms across Azure, Databricks, and Snowflake. Define data architecture, modeling, governance, and integration standards; translate business needs into data and AI solutions; collaborate with engineering, data science, and AI teams; and provide technical leadership across cloud data ecosystems.

Owns CyberCX’s AWS, Azure, and Google Cloud Marketplace programs. The role enables sales teams, develops bundled SaaS and professional services offers, advises customers on marketplace procurement, manages marketplace opportunity pipelines and forecasts, facilitates cloud-provider co-selling, and grows private offer, new-sales, renewal, and ISV revenue streams. Candidates need at least two years of AWS or Azure Marketplace experience, strong marketplace sales knowledge, and preferably reseller experience.

The Infrastructure Technical Lead will manage cloud and IT infrastructure, ensure datacenter operations quality, handle troubleshooting, and enforce security protocols, while collaborating on projects and assisting teams across regions.

Leads enterprise business application strategy, capability modeling, target-state architecture, application portfolio rationalization, and transformation roadmaps. Guides platform investment, solution design, governance, security, privacy, resilience, interoperability, and modernization decisions. Partners with business and technology leaders across cloud, data, integration, cybersecurity, infrastructure, and AI. Establishes architecture principles and design assurance while mentoring architects and influencing executive stakeholders.

Lead a data science chapter developing and scaling machine learning, Generative AI, and agentic AI solutions for fraud and scams. Guide technical direction, architecture, experimentation, evaluation, deployment, monitoring, responsible AI, and model governance. Partner with product, engineering, MLOps, risk, and business teams while coaching data scientists and strengthening delivery practices in a regulated environment.

Designs and maintains enterprise endpoint environments and desktop standard operating environments. Provides architectural guidance, escalation support, mentoring, customer consulting, and continuous improvement across endpoint management, Windows deployment, security, VDI, cloud, and hybrid infrastructure. The role requires strong stakeholder, communication, planning, budget, and vendor-management skills, along with eligibility for Australian Government Baseline clearance.

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.

Support and maintain data-focused customer applications by monitoring systems, resolving production incidents, managing service requests, and improving application reliability, scalability, security, and maintainability. The role involves collaboration with engineering teams, customers, vendors, and service providers, as well as application enhancements, documentation, audit support, and guidance for junior and offshore team members.

Develop and deploy AI, generative AI, machine learning, and data science solutions for consulting clients. Responsibilities include building RAG pipelines, AI agents, LLM applications, predictive models, deep learning systems, optimization solutions, and big-data applications. The role also involves model evaluation, AI observability, governance, research, and collaboration with architects, engineers, data scientists, and clients.

Manage sensitive and escalated customer and partner issues, coordinating internal teams, vendors, and stakeholders to drive resolution. Lead strategic projects, mentor support managers, improve resolution processes, identify recurring issues, establish protocols, and communicate with senior and C-level stakeholders. The role requires Microsoft product expertise, cloud certification, incident and escalation management experience, and successful completion of Microsoft’s Cloud Background Check.

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.

Lead a specialist data science chapter delivering production-grade machine learning, generative AI, and agentic AI solutions. Drive architecture, experimentation, evaluation, deployment, monitoring, responsible AI, and model governance in a regulated environment. Partner with engineering, MLOps, risk, architecture, and business teams while coaching data scientists and advancing technical excellence across fraud and scam prevention initiatives.

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.