Top Azure Jobs in Sydney

The Senior Microsoft CSP Business Development Manager will lead Azure consumption strategies, manage partner relationships, and drive revenue growth through co-selling and strategic planning within the Microsoft ecosystem.

As a Solutions Engineer, you will provide technical expertise to prospective customers, supporting them in evaluating the Sonar product and ensuring successful adoption.

The Senior Project Consultant will manage IT projects from planning to execution, collaborating with stakeholders, ensuring quality, and maintaining documentation while leading technical implementations.

Lead high-impact engagements in advanced analytics and AI, designing secure architectures, guiding executive stakeholders, and mentoring teams while driving measurable business value.

This role leads enterprise-scale AI and Data transformation programs, acting as a trusted advisor to senior executives, and shaping data strategies and governance frameworks.

The role involves designing, implementing, and supporting Microsoft-based workplace solutions, managing service escalations, and developing automation artifacts.

Lead end-to-end solution architecture for data, analytics and AI initiatives; translate enterprise strategy into scalable designs; embed security, privacy, governance and responsible AI; provide hands-on leadership across data platforms, integration, modelling, serving and reporting; guide teams on design patterns, risks and architectural roadmaps in a regulated environment.

Lead cloud and AI adoption engagements: define cloud and GenAI roadmaps, design cloud-native and AI-integrated architectures, advise C-level stakeholders, drive operating models (FinOps/DevSecOps/platform engineering), oversee organisational change, and enable capability uplift through coaching and frameworks.

As a Senior Technical Support Engineer, you will resolve complex technical issues, collaborate with engineering, and mentor junior engineers while enhancing customer experiences for the observability platform.

The Migrations Solutions Architect will manage the pre-sales migration cycle, engage with customers, scope data migrations, and utilize AI tools to innovate migration strategies

Manage and grow strategic partner relationships (SIs, MSPs, resellers) across ANZ. Develop and execute partner success plans, drive co-sell and demand-generation programs, enable partners with training and technical advocacy, manage MDF and co-marketing, maintain partner pipeline in Salesforce, coordinate events and escalations, and report partner performance to Ecosystem Sales leadership.

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.

Frontend-anchored technical leader who ships features across web, mobile, and backend, drives architecture and mobile decisions, owns the technical backlog, champions observability and reliability, mentors engineers, and leverages AI tools to accelerate delivery.

Design, implement and maintain secure, scalable data infrastructure and integration pipelines. Automate deployments and operations across on‑premise and cloud, manage CI/CD, IaC and configuration items, support releases and testing, and use AI-assisted tools to improve efficiency and reliability while collaborating with stakeholders.

Develop and enhance full-stack features for Chubb's Commercial Insurance platform using React, Node.js, Python, and Claude AI, collaborating with global teams and adhering to Agile practices.

Lead design and delivery of scalable data and AI platforms across Azure and Databricks. Architect production-grade ML/LLM solutions (RAG, agentic patterns), build batch and streaming pipelines, formalize medallion/lakehouse standards, implement MLOps/DataOps (CI/CD, monitoring, orchestration), embed Responsible AI and governance, and provide technical leadership, mentoring, and cross-functional delivery.

The Cloud Sales Lead will drive Red Hat's cloud business, focusing on sales strategy, partner collaboration, and cloud market development to enhance customer adoption.

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.

As a Systems Engineer, you'll manage backup systems, provide operational support, mentor team members, and ensure data protection and recovery for clients.

The Data Architect will design enterprise-level data solutions, optimize data models, and implement data governance frameworks, ensuring alignment with business goals.

Design and govern cloud-native data platform architecture on Azure and Microsoft Fabric. Define standards and reference patterns for ingestion, transformation, storage, orchestration, observability, metadata, lineage and security. Provide hands-on architectural guidance, partner with stakeholders across Technology, Data, Cyber, Risk and business teams, and enable scalable, reusable data capabilities for analytics and AI use cases.

Pre-sales technical lead focused on enterprise telco/carrier and cloud security deployments. Drive engineering outcomes, build executive relationships, produce proposals/RFI/RFP responses, lead PoCs and workshops, and represent Fortinet solutions (FortiGate, FortiManager, FortiAnalyzer). Advise on 4G/5G network and cloud security, SDN, and multi-cloud architectures while supporting product and account strategy.

Design, train, evaluate, and deploy predictive transportation and delivery ML models (primarily XGBoost). Perform EDA, feature engineering, experiment design, and statistical evaluation. Build production ML pipelines and MLOps practices on Google Vertex AI. Collaborate with data engineering and supply chain stakeholders to translate operational needs into scalable solutions.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

Design, build, and maintain production-ready full-stack applications combining React frontends with Java/Python backends. Integrate Generative and Agentic AI workflows, implement CI/CD, deploy cloud-native services on Kubernetes (GCP/Azure), manage relational and NoSQL databases, apply automated testing, observability, and troubleshoot production systems while collaborating across DevOps, QA, and Product teams.