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.

Sets global cloud architecture standards, serves as the senior technical escalation point for strategic multi-cloud engagements, and advises executive customers. Leads complex architecture workshops, develops reference architectures and automation, mentors architects, influences product roadmaps, and improves professional services scoping and delivery. Requires deep AWS and Azure expertise, strong cloud security, data protection, automation, and enterprise architecture experience, with occasional travel.

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 strategic customer success for a portfolio of Enterprise (G2000) accounts, driving retention, revenue realization, and advocacy. Advise on complex technical and operational strategies, conduct business reviews, create mutual success plans, and coordinate cross-functional resources. Mentor team members, influence product direction with customer insights, and maintain accurate account data while leveraging AI to improve engagement and efficiency.

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 engineering teams to improve Azure Storage service quality, resiliency, chaos engineering, and validation infrastructure. Integrate AI tools and Responsible AI across the SDLC, coordinate cross-team plans, resolve complex incidents, and ensure scalable performance and best practices.

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.

Lead consultative sales of Microsoft security and cloud solutions to small and medium enterprise customers. Build pipeline, identify and close strategic opportunities, conduct technical security discussions and demonstrations, develop customer and partner strategies, manage channel sales, forecast results, analyze competitors, and collaborate with internal teams and partners. Mentor colleagues, orchestrate end-to-end opportunities, and drive cybersecurity transformation outcomes.

Lead enterprise SD-WAN, SASE, cloud networking, and security transformation programs. Responsibilities include requirements translation, architecture design, technical documentation, implementation, testing, migration, cutover, troubleshooting, stabilization, and stakeholder management across multi-vendor environments. The role provides technical leadership while coordinating clients, project teams, and technology vendors to deliver secure, scalable networking solutions aligned with governance, milestones, and business objectives.

Provides technical presales and consulting support for Microsoft AI and cloud solutions. Engages customers and partners, leads technical discussions, develops account and consumption strategies, demonstrates architectures, oversees proofs of concept, and drives technical wins. Advises on security, compliance, migrations, integrations, and digital transformation while relaying competitive insights to product and engineering teams.

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.

Designs and delivers production-grade AI systems for enterprise clients, from discovery and architecture through deployment and operations. Responsibilities include leading technical client engagements, building LLM pipelines and agentic workflows, integrating AI with cloud and enterprise data platforms, establishing evaluation and observability frameworks, ensuring security and compliance, resolving incidents, and mentoring engineers. The role requires strong software engineering, cloud, data, AI/ML, and customer-facing technical leadership experience.

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.

Staff Software Engineer leading production AI/ML and GenAI engineering within a payments technology environment. Responsibilities include building cloud-native AI services, agents, RAG systems, APIs, microservices, and reusable platforms; establishing evaluation, guardrails, observability, security, and responsible AI practices; and taking solutions from experimentation through production operations. The role also influences architecture and engineering standards, mentors engineers, and drives DevSecOps and AI adoption across teams.

Designs scalable, resilient application and IT solutions across frontend, API, backend, database, and integration layers. Collaborates with architects, developers, testers, product owners, and security teams to produce design documentation, validate requirements, support delivery, and ensure privacy and security alignment. Develops optional proof-of-concept prototypes and technical points of view while communicating design progress and risks. The role supports digital application development, cloud modernization, and technology architecture initiatives.

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.

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

Develop and maintain reliable, secure cloud software and ML infrastructure for Azure operations. Responsibilities include gathering requirements, contributing to architecture, coding, code review, testing, deployment, telemetry integration, data analysis, live-service operations, on-call support, automation, and security and compliance improvements. The role emphasizes AI-powered operational autonomy, extensibility, maintainability, and collaboration across Microsoft teams.

Develop and maintain enterprise-grade C# and .NET applications, RESTful APIs, event-driven microservices, and distributed systems on AWS. Design PostgreSQL schemas, optimize queries, and support high-volume workloads across the full software development lifecycle. Collaborate with product owners and architects while meeting compliance, security, resiliency, and service-level requirements. Use and evaluate AI-assisted development tools responsibly for coding, testing, refactoring, documentation, and automation.

Design, develop, and maintain full stack applications using .NET, C#, Angular, and Azure. Build REST APIs, microservices, SQL databases, and cloud solutions while implementing CI/CD and DevOps practices. Conduct code reviews, mentor junior developers, troubleshoot production issues, contribute to architecture, and collaborate with stakeholders in an Agile environment.

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.

Provide technical leadership for full stack application development across Azure, Power Platform, APIs, security, and data engineering. Review and approve contractor and internal code, architecture, and technical designs; establish development standards; mentor developers; and build Python and .NET Azure Functions, API integrations, Power Pages portals, infrastructure templates, security controls, Dataverse configurations, and monitoring solutions for a government client project.