Top Azure Jobs in Melbourne

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

Design and build multi-tenant, high-scale embedded finance infrastructure. Lead cross-team initiatives, architect enterprise integrations, optimize for performance and reliability, and collaborate with Product, Design, Compliance, and Sales to deliver production-grade solutions used by global customers.

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.

Enterprise Account Executive responsible for managing named Major Accounts, driving net‑new revenue and platform expansion. Build multi‑year account plans, execute outbound and multi‑threaded deals, align executives, negotiate complex commercial agreements, and work with solutions engineers and partners to position Vercel as a strategic infrastructure partner for web and AI transformation.

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.

The Platform Professional Services Manager will lead a team providing deployment, operational support, and customer engagement for CrowdStrike technologies, managing technical implementations and collaborating across teams to ensure successful delivery outcomes.

The Staff Infrastructure Security Engineer will lead security initiatives, set architectural patterns, conduct security reviews, and mentor engineers while ensuring security in cloud infrastructures for GitLab.

Drive development of MYOB's SaaS platform as a senior full-stack developer. Collaborate on building web services and 3rd-party integrations, deploy cloud solutions (Azure/AWS) with scalability and resilience in mind, apply TDD, DevOps, CI/CD, clean code and event-driven architecture, and adapt to evolving technical directions.

Develop and enhance MYOB's checkout journey, integrating with financial institutions. Build secure, scalable cloud-native services using Java/Kotlin, Spring Boot, Kubernetes and AWS, collaborate with the team, follow TDD, DevOps and event-driven practices, and contribute to product quality and performance.

Collaborate on design, build, test, deploy and support web-service based business software. Ensure quality via TDD, CI/CD, and design patterns; contribute to architecture, documentation, production support, and agile delivery.

Design, build and maintain API platform capabilities and developer portals. Develop and support REST and GraphQL APIs, implement authentication/authorization (OAuth2/OIDC/JWT/RBAC), build cloud-native services on Azure/GCP, improve reliability, performance, observability, CI/CD, and maintain documentation and code quality through cross-team collaboration.

Serve as a strategic technical advisor driving adoption of Cisco Cloud & AI Infrastructure across global enterprise accounts. Lead onboarding roadmaps, high-impact workshops, adoption frameworks, architectural guidance, risk mitigation, and deliver customer feedback to influence product roadmaps and engineering.

Lead design and delivery of enterprise IAM (CIAM and workforce) including platform selection/migration (Azure AD B2C/Entra, Okta), architecture-to-implementation, IaC/CI-CD automation, integrations with Dynamics 365/ServiceNow/APIs, OIDC/OAuth2/SAML flows, token design, identity lifecycle, RBAC, MFA/conditional access, and mitigation of identity risks.

The Endpoint Engineering Architect will create and maintain desktop environments, provide expert advice, mentor engineers, and support customer digital transformation initiatives.

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.

Design, build, and maintain secure, scalable APIs and integration services using C#/.NET. Troubleshoot production issues, optimise T-SQL, contribute to CI/CD pipelines, and enhance cloud-based platform reliability for global payments and reporting.

Design and manage Azure cloud architectures, administer Linux systems, automate tasks with scripts, and ensure security and performance standards.

Design, build, and evolve cloud-native, event-driven microservices and distributed systems. Drive technical excellence through architecture decisions, mentoring, CI/CD, automation, testing, observability, and production incident management. Collaborate with Product and Architecture to deliver secure, scalable solutions.

As a Senior AI Engineer, you will design and deliver generative AI solutions, mentor junior engineers, and collaborate with cross-functional teams to build and optimize AI applications.

Lead data architecture, integration and systems implementation for project controls and program data. Design data models, integrate systems (APIs, bulk migration), configure reporting platforms (Power BI, cloud data platforms), and translate business processes into scalable, standardised solutions enabling reporting, benchmarking and AI readiness.

Lead design and delivery of enterprise cloud data and AI platforms, advise executives on strategy and investment, define reference architectures and governance, drive Databricks/Delta Lake implementations, embed security and privacy-by-design, run workshops, mentor architects, and contribute to proposals and partner relationships.

Lead and deliver data and analytics projects end-to-end: design data warehouses, BI and ETL solutions, build robust data pipelines, ensure data quality, lead small teams, coach juniors, translate complex requirements for stakeholders, and contribute to proposals and methodology improvements.

Lead delivery of complex Data & Analytics solutions, designing data engineering, ETL and BI solutions. Manage medium-to-large projects, communicate technical concepts to stakeholders, mentor junior staff, and support business development and quality assurance activities.

Design and build scalable, secure data platform infrastructure on Databricks and Azure. Implement medallion ETL/ELT pipelines, multi-tenant isolation, graph data integrations, RBAC and privacy controls, CI/CD and observability. Lead architecture, mentor engineers, and align platform capabilities with analytics, BI, and AI teams.

The Senior AI Engineer will design AI systems, develop machine learning applications, contribute to AI production processes, and collaborate with teams to enhance product efficiency.