Top Azure Jobs in Melbourne

Leads the design and architecture of enterprise-grade streaming solutions using Confluent Kafka and Apache Kafka. Engages clients to understand business requirements, define integration strategies, translate needs into technical solutions, and guide implementation teams. Responsibilities include architecting secure and scalable event-driven ecosystems, integrating Kafka with enterprise systems, advising on Confluent Cloud and governance, and supporting cloud, Kubernetes, automation, and stream-processing implementations.

Designs and delivers enterprise data and business intelligence solutions using Azure, SQL, Microsoft Fabric, and Power BI. Develops executive dashboards, semantic models, DAX calculations, paginated reports, and operational or regulatory reporting. Ensures performance, governance, security, visualization quality, and automation. Engages stakeholders to gather requirements, translate business needs into scalable data solutions, and present insights and recommendations to executives.

Defines business-aligned technical solutions for digital channels, including web and mobile applications, customer journeys, APIs, cloud platforms, and integrations. Evaluates solution options, facilitates stakeholder decisions, develops architecture deliverables, and oversees high-level design and delivery. The role requires enterprise-scale architecture experience, TOGAF or equivalent framework knowledge, Agile practices, commercial judgment, and strong communication across complex matrix organizations.

Design, build, support, and govern Kafka-based event-driven services and platforms. The role requires expertise in Confluent Kafka architecture, eventing standards, cloud infrastructure, observability, access controls, security protocols, and DevOps or SRE practices. Experience with GCP, monitoring tools, scripting, automation, and Java application debugging is valuable.

Leads Azure application modernization and migration initiatives, designing target-state architectures, Azure Landing Zones, and PaaS hosting solutions. Configures and optimizes App Service, Functions, AKS, and containerized applications; assesses performance before and after migration; analyzes dependencies and integrations; and troubleshoots Azure environments. Guides technical teams, collaborates with enterprise architecture, DevOps, data, and integration stakeholders, manages customer relationships, and presents solution architectures.

Designs, implements, and maintains cloud automation solutions across Kubernetes environments. Deploys and supports containerized applications, develops CI/CD pipelines, automates infrastructure provisioning with IaC tools, and improves platform reliability, scalability, security, and performance. Collaborates with development, architecture, and operations teams to streamline application delivery.

Design end-to-end .NET and Azure solutions for insurance applications. Lead architecture discussions, modernization, cloud migration, API integration, and microservices adoption. Define architecture standards and ensure security, compliance, scalability, performance, and reliability. Oversee third-party integrations, collaborate with business stakeholders, mentor development teams, and conduct architecture reviews.

Designs, implements, and maintains cloud infrastructure and CI/CD pipelines across Azure and AWS environments. Automates infrastructure with Terraform and operational workflows with PowerShell, deploys applications using Azure services, and configures secure API, networking, monitoring, and alerting solutions. Partners with development, operations, vendors, and service providers to ensure platform reliability, scalability, and security. Troubleshoots multi-environment issues, documents systems, and supports continuous improvement.

Designs, implements, and maintains Azure cloud infrastructure, CI/CD pipelines, and application deployments using Azure DevOps, Terraform, and Azure services. Manages secure platform components including API Management, Key Vault, and Application Gateway. Implements monitoring with Azure Monitor and New Relic, automates operational tasks with PowerShell, troubleshoots platform issues, collaborates with development teams and vendors, and supports reliability, scalability, security, documentation, and continuous improvement.

Develop and maintain modern web applications using React, Next.js, and TypeScript. Build reusable front-end components and shared libraries with NX, integrate .NET Core APIs, and support Azure, Kubernetes, and AKS deployments. Contribute to solution design, estimation, code reviews, troubleshooting, root cause analysis, and DevOps practices. Collaborate with cross-functional teams and support customer-facing Sitecore Headless platforms, particularly in enterprise, insurance, healthcare, or financial services environments.

Leads cloud and infrastructure architecture across AWS, Azure, hybrid environments, data centers, networking, security, identity, migration, resilience, and enterprise transformation. Defines target-state architectures, cloud foundations, governance standards, integration patterns, and migration roadmaps. Coordinates engineering, security, operations, application, vendor, and executive stakeholders to deliver secure, scalable, supportable solutions. Oversees Azure-native integration using Logic Apps, API Management, Service Bus, Event Grid, and Azure Functions, while improving disaster recovery, monitoring, and business continuity.

Develop and maintain automated API and UI tests using Playwright and integration-testing frameworks such as REST Assured, SuperTest, or Karate. Containerize test environments with Docker, integrate automation into CI/CD pipelines, and support reliable, scalable test coverage. The role requires Git, Kubernetes exposure, API security knowledge including OAuth2 and JWT, and preferably banking or Open Banking experience. Cloud and observability experience are beneficial.

Designs and implements enterprise integration solutions using Azure Integration Services, including Logic Apps, Service Bus, API Management, and Functions. Develops REST and SOAP integrations, event-driven and microservices architectures, and secure cloud solutions. Establishes CI/CD pipelines using Azure DevOps or GitHub Actions and applies enterprise integration patterns. Integrates systems such as SAP, Salesforce, Oracle, and Microsoft Dynamics while addressing Azure networking, identity, security, messaging, API governance, and cloud-native architecture.

Develop and maintain scalable web applications using React, Next.js, TypeScript, NX, and Sitecore Headless solutions. Integrate front-end applications with .NET Core APIs, support Azure and Kubernetes deployments, troubleshoot production issues, and contribute to solution design, code reviews, Agile delivery, and technical best practices. Collaborate with cross-functional stakeholders and support customer-facing digital, eCommerce, insurance, healthcare, or financial services platforms.

Develop machine learning, deep learning, generative AI, LLM, operations research, and big data solutions for consulting clients. Build predictive and explanatory models, RAG pipelines, conversational assistants, autonomous agents, optimization models, and simulation systems. Support AI-driven digital transformation projects while collaborating with teams and quickly taking responsibility for high-value assignments.

Lead DevOps implementation across AWS and Azure, designing infrastructure as code with Terraform, managing CI/CD pipelines, configuration management, Kubernetes deployments, containerization, and automation. Mentor developers, promote DevOps practices, document solutions, and collaborate across engineering teams. Australian citizenship and 3–5 years of continuous residency are required; active security clearance is preferred. HashiCorp Vault, OpenShift, and AI agent experience are advantageous.

Design and scale analytics solutions using data science, AI-native workflows, and cloud platforms. Develop models, algorithms, statistical analyses, and reusable AI-enabled approaches using Python and SQL. Evaluate AI-generated outputs, create technical specifications, support engineering delivery, mentor analysts, and improve workflows across distributed global teams.

Develop data science and AI-native analytical solutions using Python, SQL, cloud platforms, and AI tools. Responsibilities include data extraction and cleaning, feature engineering, model development, validation, testing, scalable solution design, and evaluation of AI-generated outputs. The role collaborates with analysts, engineers, and product specialists, contributes to project delivery and continuous improvement, and communicates technical concepts to non-technical audiences.

Design, build, test, deploy, and monitor enterprise AI/ML solutions and agentic workflows across Azure and Databricks. Develop production-quality Python, C#, and SQL code, MLOps pipelines, model evaluation and monitoring systems, and governed AI platforms. Collaborate with architecture, security, governance, platform, product, and business teams while contributing to documentation, engineering standards, code reviews, responsible AI, FinOps, and mentoring junior engineers.

Manage and troubleshoot cybersecurity services within managed infrastructure environments. Responsibilities include onboarding services, supporting high-priority infrastructure and security incidents, maintaining security policies and compliance, meeting service-level agreements, implementing project requirements, automating repetitive tasks, and coordinating with vendors. The role requires enterprise IT/OT security operations experience, Forcepoint Web Proxy expertise, firewall and cloud knowledge, incident response capabilities, and Australian citizenship with police clearance eligibility.

Lead Engineering Managers and multiple software engineering teams, shaping technology strategy, roadmaps, engineering practices, and delivery outcomes. Partner with Product and senior stakeholders to balance customer needs, quality, technical debt, cloud costs, and sustainability. Champion continuous delivery, automated testing, security, observability, AI adoption, and automation while measuring engineering improvements through outcome-focused metrics in a Microsoft-focused technology environment.

Customer-facing Cloud Solution Architect enabling Microsoft 365 Copilot adoption and ROI. Drive deployment-to-usage lifecycle, resolve technical blockers, develop customer success plans, and advise executives. Provide technical leadership across M365, Power Platform/Copilot Studio, Azure, security/compliance, and partner ecosystems to accelerate adoption and business outcomes.

Designs, develops, and manages scalable API-led integration solutions using Azure services, REST APIs, and Azure API Management. Responsibilities include implementing secure authentication and authorization, building CI/CD pipelines, supporting event-driven integrations, and collaborating with cross-functional teams. Healthcare integration experience, including FHIR and HL7 APIs, is advantageous. The role also involves troubleshooting, deployment, and ongoing support of cloud-native integration platforms.

Lead architecture and delivery of large, complex enterprise deployments across cloud and on-prem environments. Design scalable data, security, and AI integrations; develop automation, ETL pipelines, and custom integrations; embed with customer engineering and executives to drive adoption, mentor team members, and influence product roadmap.

Manage and optimize technology expenditure across cloud, infrastructure, software, SaaS, AI, licensing, and managed services. Responsibilities include budgeting, forecasting, financial reporting, spend and utilization analysis, cost optimization, investment planning, vendor and contract reviews, lifecycle management, licensing governance, and FinOps reporting. The role partners with Finance, Procurement, and Technology teams to improve transparency, manage financial risk, and support strategic technology decisions.