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.

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.

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.

The Enterprise Architect - Cloud and Infrastructure will lead strategic direction for cloud services, develop architectures, provide technical leadership, and ensure alignment with business objectives. Responsibilities include system integration, performance optimization, risk management, stakeholder collaboration, and documentation creation.

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.

As a Lead Data Engineer, you'll design and maintain platform capabilities, CI/CD pipelines, and cloud infrastructure, ensuring system reliability and developer productivity while utilizing AI tools effectively.

As a Platform Engineer, you'll develop infrastructure and automation, improve systems, manage CI/CD processes, enhance developer productivity, and collaborate on platform solutions.

Design, build, and deploy production-grade AI solutions (agents, RAG, MCP servers). Analyse business processes, integrate APIs and cloud platforms, establish prompt engineering and developer standards, manage projects, and upskill client teams.

The Senior Full-Stack Engineer will lead coding, testing, and debugging tasks, mentor junior staff, and engage in hands-on project management, focusing on backend solutions using various technologies.

The Senior Software Engineer will engage in coding, testing, and debugging, lead projects, mentor junior engineers, and innovate within teams to improve software solutions while collaborating with stakeholders.

The Principal Data Engineer will design and deliver scalable data architectures, optimize data pipelines, and guide clients in data management strategies. Responsibilities include technical leadership, collaborating with teams, and translating complex concepts for diverse audiences.

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

Lead the delivery of scalable data platforms, design robust data architectures, and provide technical leadership while collaborating with stakeholders to deliver impactful data solutions.

The Senior Software Engineer will design scalable software solutions, optimize systems, mentor junior engineers, and collaborate on complex projects within a dynamic team.

Lead analytics delivery focusing on marketing, provide insights on campaigns, build data models, and mentor team members on analytics.