Top Azure Jobs in Melbourne

Advise customers on Azure cloud, database, analytics, and AI solutions. Design secure and scalable architectures, lead discovery workshops, demonstrations, proof-of-concepts, and deployment planning, and guide database modernization and migrations. Partner with sales, customer success, and technology partners to influence technical decisions, remove deployment blockers, and drive adoption. Apply expertise in Microsoft Fabric, Azure Databricks, Azure databases, PostgreSQL, advanced analytics, and emerging Agentic AI technologies.

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.

Owns technology solutioning during client discovery engagements, including architecture, technology assessments, estimation, prototypes, and proofs of concept. Supports RFP responses and client workshops, builds working software rapidly, and helps establish AI-first discovery practices. Requires broad modern engineering experience, strong client communication, and the ability to lead ambiguous technical problems across web, mobile, cloud, and sports technology integrations.

Lead technical sales engagements for enterprise financial services customers, designing secure, scalable Agentic AI and cloud-native application architectures on Azure. Conduct workshops, live demonstrations, whiteboarding, rapid prototypes, proofs of concept, and pilots. Advise technical and business stakeholders, resolve technical blockers, influence architecture decisions, and drive production-scale deployments using Microsoft AI services, agent development platforms, application modernization technologies, and cloud-native development practices.

Build and operate secure, scalable full-stack digital lending products using TypeScript, React, Node.js, and GraphQL. Own end-to-end delivery from architecture and design through deployment and production operations. Develop cloud-native services, enhance automation with Generative and Agentic AI, establish observability and automated testing, and lead complex cross-team initiatives. Mentor engineers, influence technology direction, and deliver intuitive customer experiences within a FinTech environment.

Build and deploy software, AI, automation, data, and integration solutions for AFCA’s Scams Prevention Framework. Embed with business teams to identify operational challenges, translate them into technical solutions, develop prototypes and production applications, and support implementation. Work with platforms including ServiceNow, Azure, Databricks, and enterprise data systems. Apply DevOps, CI/CD, responsible AI, and governance practices while advising stakeholders and converting recurring needs into scalable platform capabilities.

Own day-to-day information security and compliance operations, including SOC 2, ISO 27001, and Cyber Essentials readiness. Responsibilities include evidence collection, control monitoring, policy writing, access reviews, endpoint and software compliance, risk tracking, remediation follow-up, and audit coordination. The analyst will work with Engineering, DevOps, IT, and management to maintain effective controls and audit-ready documentation.

The Staff Frontend Software Engineer will engage in coding, lead projects, mentor junior engineers, collaborate with teams, and innovate solutions.

Owns operational performance of AWS, Azure, and Microsoft 365 cloud services. Leads cloud engineers, governance, security, disaster recovery, incident and problem management, platform lifecycle, cost optimisation, infrastructure automation, landing zones, and production support. The role manages cloud operating models, stakeholder reporting, vendor relationships, compliance, platform engineering practices, and continual service improvement across enterprise managed services environments.

Leads UniSuper’s data science capability and a specialist team delivering predictive models, machine learning, and advanced analytics. Sets technical standards, oversees model development and production maintenance, establishes governance, monitors performance and fairness, and translates analytical outputs into business decisions. Partners with senior stakeholders and Product Owners to identify valuable opportunities, prioritizes work, evaluates commercial and operational impact, and supports financial crime, efficiency, and regulatory objectives.

Designs and administers secure, governed Google Cloud environments, focusing on IAM, RBAC, BigQuery permissions, policy tags, masking, service accounts, and least-privilege access. The role develops Terraform-based infrastructure, troubleshoots configuration issues, supports dbt and data-platform deployments, migrates governed data-access patterns, documents solutions, and guides engineers and stakeholders through cloud configuration and access challenges.

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 a customer-facing technical advisor helping industrial organizations adopt Seeq and implement analytics solutions. Responsibilities include solution reviews, implementation guidance, customer mentorship, use-case discovery, adoption planning, troubleshooting, product feedback, functionality testing, and industry-specific consulting. The role requires translating customer needs into scalable analytics solutions, building stakeholder trust, and collaborating with account, product, marketing, and consulting teams.

Develop and execute technical strategies for MSP partners across EMEA. Lead cloud security solution architecture, technical demos, enablement, integrations, and partner evangelism. Advise partners on securing AWS, Azure, GCP, containers, infrastructure, identities, and applications while supporting deal acceleration and technical business delivery. Travel up to 40% as needed.

Build and maintain scalable full-stack solutions for MYOB’s SME onboarding and dashboard experiences. Contribute across the software development lifecycle, including design, coding, testing, deployment, monitoring, and optimization. Collaborate with engineers, architects, and cross-functional teams, use CI/CD and automation, apply AI-assisted development practices, and mentor fellow engineers.

Leads technical pre-sales engagements for Couchbase’s data platform, consulting with customers, conducting discovery workshops and demonstrations, managing proofs of concept, designing application and database solutions, and advising stakeholders from developers to executives. Partners with sales, Product Management, and Engineering while developing technical collateral and providing customer and competitive insights.

Own the strategy, roadmap, backlog, and delivery of internal IT data products supporting modern IT service and asset management. Translate customer needs into user stories, personas, journeys, and experiments; collaborate with stakeholders and Agile teams; and make data-driven decisions across data pipelines, governance, quality, and cloud data platforms.

Lead the design and development of cloud-based data platforms using Azure and Databricks. Build and optimize ETL/ELT pipelines, data models, warehouses, lakes, and integrations; implement governance, monitoring, and troubleshooting; and create Power BI reports. Collaborate with product managers and cross-functional teams to deliver scalable, high-quality data solutions, while documenting processes and applying coding and DevOps best practices.

Provide technical escalation support for complex Azure/AWS cloud application and infrastructure issues. Own critical customer escalations, troubleshoot IaaS/PaaS and App Services, drive resolution, mentor peers, improve product and support processes, and coordinate with account and engineering teams to prevent and resolve high-risk incidents.

As an AI Consulting Solutions Engineer, you'll lead pre-sales efforts for Netskope's AI Security products, assist sales teams, engage customers, and collaborate with product management.

Design, build, and operate Supabase’s global edge and networking infrastructure, including routing, load balancing, DNS, WAF, TLS termination, CDN integrations, and observability. Improve latency, reliability, security, and cost efficiency across cloud regions. The role includes developing automated routing systems and CI/CD, troubleshooting distributed systems, participating in on-call and incident response, and collaborating with infrastructure and product teams.

Own the architecture and delivery of production AI and machine-learning systems for enterprise clients. Lead engineers, build cloud data pipelines, develop causal and predictive models, create mathematical optimization engines, and integrate generative or agentic AI solutions. Serve as the technical face of client engagements through executive presentations, technical reviews, governance documentation, and delivery oversight. Ensure code quality, testing, reproducibility, auditability, privacy, and responsible use in regulated environments.

Develop and deploy end-to-end predictive machine learning models for Retail Media, optimise model performance, and conduct statistical experiments and hypothesis testing. Collaborate with product, engineering, analytics, and business teams, while communicating technical insights to varied stakeholders. The role also involves processing large-scale cloud data and exploring modern AI tools and agentic AI frameworks.

Designs and maintains Azure DevOps CI/CD pipelines, develops Infrastructure as Code with Bicep and Terraform, automates Azure provisioning, and supports landing zones, governance, security, monitoring, and platform engineering. The role deploys Azure services, troubleshoots enterprise infrastructure, implements DevSecOps controls, and drives reusable automation patterns. Collaboration with architects, developers, security specialists, and project teams is required.

Drive new customer acquisition and expansion of Microsoft CSP relationships. Identify, qualify, and close Azure, Azure AI, Copilot, and GitHub opportunities while managing the full sales lifecycle. Build executive relationships, lead commercial discussions, develop proposals, negotiate contracts, and coordinate with Microsoft, Telstra, presales, engineering, and delivery teams to create technology solutions for enterprise customers.