Top Azure Jobs in Sydney

Lead cybersecurity and privacy strategy and delivery for clients: design zero-trust, IAM/PAM, SIEM/SOAR, DLP, cloud and endpoint security, align governance to frameworks (NIST, ISO27001, SOC2, PCI-DSS), drive automation, mentor teams, and advise CISOs.

Own approved network designs and deliver service activations across fibre, transport, and IP networks. Plan, configure, test, commission, and validate services; coordinate with field engineers, NOC, customers and vendors; perform troubleshooting, rollbacks, inventory updates, handovers, and post-activation support. Work shift patterns and contribute to process improvements and HSE compliance.

Lead network strategy, architecture, and delivery for a multi-tenant MSP. Define reference architectures, govern vendor stack, drive automation and observability, manage major incidents, ensure scalable managed network services, participate in presales and risk/capacity planning, and mentor engineering teams to meet SLAs and business outcomes.

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.

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

Design, build, and operate Azure cloud environments; create and maintain Terraform IaC and CI/CD pipelines (Azure DevOps/GitHub Actions); embed DevSecOps controls; implement monitoring and alerting; support incidents and on-call rotation; collaborate to improve platform architecture and automation.

Architect and productionize ML and GenAI solutions on the Databricks platform (RAG, agents, LLMs, MLOps). Guide customers and Solution Architects through design, optimization, monitoring, and deployment of end-to-end ML pipelines, collaborate with product and engineering, mentor SMEs, and support technical pre/post-sales engagements.

Design, implement, and manage scalable cloud infrastructure across major providers. Implement IaC, monitor performance and security, troubleshoot incidents, optimize costs, run migrations, enforce compliance, collaborate with dev/ops/security teams, and maintain documentation.

The Principal Consultant will architect, deploy, and optimize Microsoft security and endpoint management solutions, focusing on IAM, Azure, and Defender for clients. Responsibilities include presales support, security design, mentoring, and ensuring operational excellence.

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

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

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.

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.

The Customer Site Reliability Engineer (CSRE) ensures service reliability and performance, manages complex systems, leads customer escalations, and collaborates with teams to improve service stability and delivery through automation and incident response.

Lead pre-sales technical architecture for banking clients: run workshops, design end-to-end Temenos solutions (SaaS/private/public/on‑prem), produce RFP/RFI technical responses, define integration/migration and sizing, deliver demos and thought leadership, and collaborate with sales, product, delivery, and partners.

Provide technical pre-sales and consultative architecture support for Australian and NZ enterprise clients. Create and maintain client architecture plans, run scoping workshops, design high-quality pre-sales deliverables, build OEM and partner relationships, and act as a trusted advisor across infrastructure, cloud, networking, security, applications, and transformation initiatives.

Build AI-powered client products from discovery through production using full-stack engineering, AI coding tools, prompt and context engineering, and critical validation of generated outputs. Develop frontend and backend features, support testing, QA, DevOps, and CI/CD, while collaborating directly with client engineering, product, and domain teams. Translate ambiguous business needs into production-ready systems, communicate clearly with stakeholders, and contribute to consulting engagements in a hybrid Sydney-based environment.

Lead design and operation of Neara's ML platform: roadmap for training pipelines, distributed compute, model serving, experiment management, and monitoring. Build tooling to accelerate research-to-production, optimise performance (including custom CUDA/sparse tensors), and enable scalable, secure deployments across cloud and on‑prem environments while mentoring ML engineers.

As a Staff Software Engineer at Ripple, you will lead infrastructure development for financial applications, ensuring scalability, performance, and security. Responsibilities include overseeing technical teams, designing scalable systems, and implementing best engineering practices.

Support threat intelligence, incident analysis/response, penetration test coordination, vulnerability scanning and remediation tracking, security tool administration, dashboard maintenance, and adherence to security policies while learning and developing cybersecurity skills.

Lead enterprise vulnerability management and internal penetration testing across infrastructure, web, API and cloud environments. Architect and operate scanning infrastructure and automation, develop security tooling and integrations, prioritize remediation with risk context, and evaluate AI-driven approaches to enhance detection and assessment. Contribute to process and policy improvements and participate in global Cyber Defense Centre activities.

Lead global incident response and vulnerability analysis; deploy and configure SIEM and SOAR; perform forensic triage and threat hunting; develop automated playbooks and ML-based detection use cases; integrate cloud security (Azure/AWS/GCP); evaluate log correlations and advise on information security, risk, and privacy across the organisation.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.