Top Azure Jobs in Sydney

Lead data-focused business analysis for data platform, data product, and governance engagements. Act as the customer proxy, investigate and validate data using SQL, interpret models and mappings, and translate business needs into technical requirements. Facilitate workshops, define acceptance criteria, support prioritization and UAT, and produce clear documentation. Partner with technical leads to shape solutions and apply a data product perspective focused on outcomes, value, and delivery.

Serve as a customer-facing technical advisor helping industrial organizations adopt Seeq and implement analytics solutions. Responsibilities include solution reviews, implementation guidance, customer mentorship, use-case discovery, adoption planning, troubleshooting, product feedback, functionality testing, and industry-specific consulting. The role requires translating customer needs into scalable analytics solutions, building stakeholder trust, and collaborating with account, product, marketing, and consulting teams.

Build and operate end-to-end machine learning pipelines, including training, evaluation, deployment, monitoring, and model serving. Automate CI/CD, infrastructure provisioning, and reproducible environments; manage distributed GPU training across cloud and on-premises platforms; and maintain reliable, scalable inference services. Improve ML tooling, monitor production health, troubleshoot failures, and support deployment of multimodal geospatial models into customer environments.

Leads technical pre-sales engagements for Couchbase’s data platform, consulting with customers, conducting discovery workshops and demonstrations, managing proofs of concept, designing application and database solutions, and advising stakeholders from developers to executives. Partners with sales, Product Management, and Engineering while developing technical collateral and providing customer and competitive insights.

Own the strategy, roadmap, backlog, and delivery of internal IT data products supporting modern IT service and asset management. Translate customer needs into user stories, personas, journeys, and experiments; collaborate with stakeholders and Agile teams; and make data-driven decisions across data pipelines, governance, quality, and cloud data platforms.

Lead the design and development of cloud-based data platforms using Azure and Databricks. Build and optimize ETL/ELT pipelines, data models, warehouses, lakes, and integrations; implement governance, monitoring, and troubleshooting; and create Power BI reports. Collaborate with product managers and cross-functional teams to deliver scalable, high-quality data solutions, while documenting processes and applying coding and DevOps best practices.

Leads day-to-day security operations across retail, ecommerce, distribution, and corporate environments. Oversees monitoring, detection, incident response, vulnerability management, tooling, and remediation. Manages the outsourced SOC, including SLAs, detection coverage, reporting, governance, and performance assurance. Maintains operational security controls, incident runbooks, audit evidence, and compliance with PCI DSS, UK GDPR, ISO 27001, and NIST CSF. Partners with technology, ecommerce, infrastructure, legal, risk, and privacy teams.

Design, build, and operate Supabase’s global edge and networking infrastructure, including routing, load balancing, DNS, WAF, TLS termination, CDN integrations, and observability. Improve latency, reliability, security, and cost efficiency across cloud regions. The role includes developing automated routing systems and CI/CD, troubleshooting distributed systems, participating in on-call and incident response, and collaborating with infrastructure and product teams.

Lead and grow a global team of Designated Support Engineers delivering white-glove post-sales technical support. Hire, mentor, and scale the team, drive process improvements and KPIs, coordinate across field, product, and engineering to resolve technical issues, run support QBRs, and advocate for enterprise customer needs to improve satisfaction and time-to-mitigation.

Build and operate the next-generation MongoDB Cloud Storage Layer: design and ship production Rust services for multi-tenant distributed storage, diagnose performance regressions, mentor engineers, drive cross-team technical strategy, participate in on-call rotation, and contribute to roadmap and customer escalations.

Design, implement, and operate high-performance, multi-tenant cloud-native storage services. Develop production-ready Rust applications, diagnose performance regressions, lead cross-team initiatives, contribute to storage feature design, and support operational excellence including on-call duties.

Lead complex enterprise deployments across cloud and on-premises environments. Design scalable architectures for data discovery, governance, security, and AI use cases; build integrations, automation, APIs, data pipelines, and ETL processes. Own customer outcomes from architecture through production scale, resolve infrastructure and data-system challenges, engage executive stakeholders, mentor engineers, and influence product strategy and roadmap.

Build systems, tooling, and deployment workflows to package, validate, and deliver Voyage embedding models across cloud providers and third-party environments. Improve model server performance, ensure deployment correctness and observability, debug cross-stack issues, and collaborate with model-serving teams and external partners for reliable production deployments.

Drive new customer acquisition and expansion of Microsoft CSP relationships. Identify, qualify, and close Azure, Azure AI, Copilot, and GitHub opportunities while managing the full sales lifecycle. Build executive relationships, lead commercial discussions, develop proposals, negotiate contracts, and coordinate with Microsoft, Telstra, presales, engineering, and delivery teams to create technology solutions for enterprise customers.

Owns enterprise cloud sales strategy and execution across an assigned territory. Identifies cloud adoption opportunities, structures complex marketplace and managed-service deals, manages negotiations, and drives contract closure. Builds co-sell relationships with AWS, Azure, Google Cloud, system integrators, and resellers. Partners with sales, solution architecture, marketing, and customer success teams to grow pipeline, forecast accurately, accelerate deployment, and increase cloud consumption. Advises enterprise sales teams on cloud economics, marketplace opportunities, and hyperscaler engagement models.

Design and deliver secure, scalable network infrastructure solutions across on-premises, hybrid, and cloud environments. Responsibilities include enterprise network transformation, cloud connectivity, data center modernization, network security segmentation, infrastructure automation, technology migrations, architecture reviews, and technical design governance. The role requires collaboration with architects, engineers, project teams, stakeholders, and enterprise clients, along with producing detailed technical documentation and translating business requirements into practical solutions.

Leads technical sales engagements for Wiz’s cloud and AI security platform. Partners with sales, product, engineering, customer success, and executive stakeholders on strategic opportunities, demonstrations, proof-of-concepts, deployments, troubleshooting, security architecture, and platform messaging. Provides field-driven product feedback and thought leadership while guiding prospects and customers through complex cloud, DevOps, Kubernetes, networking, and security use cases.

Design and implement enterprise data governance frameworks, policies, and operating models. Establish stewardship, metadata management, lineage, and data quality practices. Facilitate stakeholder workshops, embed governance into delivery, support governance tooling adoption (data catalogs, metadata platforms), and provide advisory and mentoring to uplift organisational governance capability.

Serves as the highest technical escalation point for enterprise customers, diagnosing complex issues across integrations, workflows, APIs, identity systems, and customer environments. Reproduces and triages bugs, partners with Engineering and Product, improves escalation processes, strengthens documentation, and supports customer-facing teams. Uses logs, observability tools, payloads, and debugging utilities to resolve issues and identify systemic improvements.

Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.

The Cloud Engineer II will join the SRE team to improve service mesh and Kubernetes architecture across AWS and Azure environments. Responsibilities include designing and maintaining reliability tools, monitoring systems, analyzing metrics, troubleshooting performance issues, improving availability, reducing operational toil, and optimizing cloud costs. The role requires hands-on experience with Kubernetes, Terraform, Helm, cloud deployments, container diagnostics, Python or Shell scripting, and mature development and deployment practices.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Designs, builds, and optimizes cloud-native data platforms, batch and real-time pipelines, and AI-powered data products using Snowflake, Databricks, AWS, and Azure. The role includes data architecture, governance, quality, observability, security, performance and cost optimization, infrastructure as code, and direct client collaboration. The engineer also contributes to technical design, estimation, delivery planning, and modern AI capabilities such as semantic search and RAG.

Leads the design and production delivery of generative AI solutions for clients. Manages and mentors data scientists, sets engineering standards, oversees solution quality and documentation, supports technical scoping and pre-sales, and helps shape reusable AI components and team strategy. Requires strong AI and machine learning expertise, production architecture experience, Python skills, cloud-native development knowledge, and commercial communication abilities.

Build and deliver production-grade generative AI and LLM applications using Python, machine learning, cloud platforms, APIs, SQL, and data pipelines. Contribute to AI evaluation, observability, testing, code reviews, and technical standards. Collaborate with clients and domain experts to define solutions, explain technical concepts, and communicate risks and trade-offs. The role supports end-to-end AI/ML delivery while developing technical and consultative expertise.