Top Azure Jobs in Sydney

The Technical Account Manager will build customer relationships, ensure successful onboarding and deployment, and drive adoption of the Upwind platform.

Responsible for ensuring reliability, availability, and performance of cloud production systems, leading incident response, automating workflows, and improving system observability and scalability.

Lead technical pre-sales engagements across APAC: manage POV lifecycles, deliver demos, conduct threat analysis and simulations, evaluate platform improvements, create SE enablement materials, and collaborate cross-functionally to convert evaluations into closed deals while advising enterprise stakeholders on insider risk and AI-related security risks.

This is a general talent-pool posting for future non-technical roles (HR, Sales, Marketing, Finance, Operations, Audit, and other support functions). Candidates with relevant experience can submit profiles to be considered for suitable openings at VeriPark, a global technology company serving financial institutions.

Design and lead frontend architecture and development for scalable, secure web UIs that integrate with embedded systems and cloud platforms. Build device provisioning, telemetry visualization, and remote management interfaces; optimize performance and accessibility; mentor engineers; collaborate across backend, hardware, and systems teams to deliver end-to-end solutions.

Lead cloud infrastructure monitoring, automate operations, and design AI-driven predictive monitoring and automated incident response. Manage CI/CD pipelines, enforce cloud security/compliance, build monitoring/logging/alerting systems, perform incident triage and collaborate with development teams to optimize cloud resources.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Lead design, development, deployment, and continuous improvement of cloud-native data and analytics solutions on Azure. Act as a hands-on technical lead building scalable, secure end-to-end data platforms using Spark/Databricks, Python/PySpark, and orchestration tools. Ensure CI/CD, DevOps, automation, code quality, mentor team members, resolve complex technical issues, and collaborate with stakeholders and vendors to drive platform evolution.

Build, deploy, and support cloud-native data and analytics solutions on Azure. Design and maintain data pipelines, ingestion, transformation and integration processes using Apache Airflow. Ensure data quality, monitoring, CI/CD and infrastructure-as-code. Troubleshoot platform issues, collaborate with cross-functional teams, and contribute to platform improvements and documentation.

Lead observability, incident management, and reliability for Ditto's edge-to-cloud infrastructure. Build monitoring (Prometheus, Grafana, Datadog), define SLOs, automate recovery and tooling, author runbooks, collaborate with product teams, and participate in on-call rotations to ensure scalable, enterprise-grade system resilience.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

The Senior AI Engineer will design and build production-grade AI systems, integrate AI capabilities into enterprise platforms, and contribute to internal technical standards and tooling.

The Senior .NET Developer will collaborate in an agile environment, developing scalable solutions, designing user interfaces, and ensuring code quality while anticipating client needs.

Seeking an AI Automation Engineer to design and deploy automation solutions using low-code tools, optimize workflows, and scale microservices in cloud environments, while collaborating with clients and teams.

The Technical Consultant will bridge business needs with technical solutions, design and customize Dynamics 365 environments, manage data migrations, and collaborate with stakeholders.

Develop AI-powered systems for supply chain workflows. Implement agentic AI features, build backend services, and support testing and validation for AI systems.

Design, benchmark, and optimize ClickHouse Cloud performance at scale. Troubleshoot production issues, tune configurations, run chaos experiments, build measurement tools, and collaborate with core, cloud, and security teams to improve system resilience and scalability.

As a Senior Backend Developer at Awarri, you'll build and maintain backend systems for AI platforms, focusing on scalable architectures, data integration, and real-time communication.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

As a Senior Application Database Engineer, you will own database infrastructure, design data models, optimize queries, and manage cloud databases using MongoDB Atlas and other technologies.

The Engineering Director leads cloud transformation initiatives, develops technical client relationships, and designs strategic cloud solutions to enhance business value and drive revenue.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Ubuntu Pro Sales Engineer drives adoption of Ubuntu Pro, advises customers, delivers presentations, and collaborates with sales teams to meet targets in a global setting.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Lead net-new enterprise sales within Banking & Financial Services by owning full sales cycles, developing territory and pipeline, co-selling with hyperscalers and partners, and positioning Iron Mountains digital portfolio (AI, intelligent document processing, workflow automation) to deliver measurable ROI and close high-value deals.