Top Azure Jobs in Melbourne

Lead presales technical engagements for SailPoint in A/NZ: discover requirements, demo and align identity governance solutions, support RFx responses, engage customers and partners, collaborate with sales and product teams, and mentor team members.

The Senior Cloud Security Consultant conducts security assessments, designs detection logic, automates tasks, and collaborates on client engagements to enhance security in cloud environments.

As a Technology Consultant I at Dynatrace, you will deliver services based on the Dynatrace Platform, provide client training, monitor application performance, and assist with troubleshooting. You will also create reports, enhance clients' operations, and identify new opportunities for sales.

Deliver technical product presentations and demos, configure installations during POVs, liaise with Product Management for account requirements, train and support Sales on technical and competitive messaging, act as a trusted advisor to prospects/customers to ensure project success, and travel as required.

Lead technical pre-sales engagements for New Relic, discover customer needs, design and demonstrate observability solutions, run proofs-of-concept, remove technical objections, partner with sales to drive revenue and build executive relationships.

Act as a quota-bearing technical trusted advisor for enterprise customers: lead technical discovery, design bespoke architectures, deliver demos/PoCs across security, networking, Zero Trust and developer platforms, drive adoption/expansion, run technical QBRs, and leverage AI-augmented workflows to automate routine tasks.

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.

Lead technical engagements for major enterprise accounts: architect observability, AIOps, and security solutions; run PoVs/POCs; present to C-suite; support sales and partners; evangelize at events; and provide product feedback to improve market fit.

Drive revenue growth within assigned enterprise accounts by prospecting, qualifying, and closing complex deals. Target CTOs and engineering/IT leaders, partner with solution architects, professional services, customer success and channel partners, and participate in sales enablement and training programs.

As a Solutions Engineer, you will provide technical expertise to prospective customers, supporting them in evaluating the Sonar product and ensuring successful adoption.

Serve as technical pre- and post-sales advisor for enterprise customers: design architectures for web and AI/Agentic workflows on Vercel, run evaluations and POCs, guide onboarding and migrations, optimize performance and cost, respond to security/compliance reviews, and produce reusable playbooks and developer-facing content.

Design and implement enterprise data governance frameworks, policies, and operating models. Establish stewardship, metadata management, lineage, and data quality practices. Facilitate stakeholder workshops, embed governance into delivery, support governance tooling adoption (data catalogs, metadata platforms), and provide advisory and mentoring to uplift organisational governance capability.

Design, build, productionise and optimise business-driven applications using the Microsoft stack and Azure. Integrate AI capabilities, deploy in a DevOps/CI/CD environment, support monitoring and incident resolution, collaborate with stakeholders, and promote reuse, automation and engineering best practices.

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.

As a Senior AI Engineer, you will develop and implement AI capabilities to enhance business processes and customer experiences, collaborating with teams to deliver scalable solutions.

The Principal Customer Solutions Engineer designs, implements, and leads mainframe modernization projects, providing technical solutions and customer support while managing project risks and team dynamics.

Design, implement and optimise Azure cloud infrastructure and IaC using Terraform. Support production environments, improve automation and CI/CD/GitOps practices, troubleshoot cloud issues, and collaborate with stakeholders and vendors to uplift cloud platforms and engineering standards.

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.

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.

Embed with strategic customers to prototype, build, and productionize full-stack AI and agentic applications. Advise on AI strategy, codify repeatable solution patterns, mentor teams, and feed product improvements.

Lead design, development, and operational support of the API platform (Apigee/Azure APIM). Provide platform subject-matter expertise, onboard/migrate APIs, improve security, scalability, monitoring, CI/CD, infrastructure-as-code, and developer experience.

Lead design, build, and deploy production-grade Generative AI solutions. Architect and optimise RAG pipelines and vector DBs, integrate AI via secure APIs/microservices, manage prompt lifecycle, implement MLOps/versioning/monitoring, and mentor engineering teams.

Lead design and delivery of enterprise-scale generative AI and multi-agent systems. Define reference architectures, RAG and vector knowledge layers, integration fabrics, observability, governance, and Responsible AI frameworks. Assess readiness, build roadmaps, coordinate cross-functional teams, and mentor engineering talent.

Lead pre-sales technical engagements to architect, demo, and deliver Protegrity data protection solutions across cloud, hybrid, and on-prem environments. Run POCs, map data flows, produce solution designs, collaborate with sales and services, mentor peers, and validate deployments using AWS/Azure/GCP and container platforms.

Investigate issues, define technical requirements and specifications, and work with developers to build, test and release enhancements to the WebRater application. Analyse integrations, data flows and platform performance, troubleshoot defects, and support delivery while upskilling other BAs on technical approaches.