Top Azure Jobs in Sydney

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

Lead design and delivery of scalable AI and data platforms including LLM and agentic systems, RAG, and Databricks-based lakehouse architectures. Architect batch and streaming pipelines, implement MLOps/DataOps, establish standards and guardrails, embed Responsible AI and governance, and mentor engineers while driving cross-functional delivery and platform reliability.

Lead APJ partner marketing for Snowflake: design and execute multi-regional demand-generation and thought-leadership programs with strategic partners, manage content and GTM plans, oversee execution and vendors, collaborate cross-functionally, and measure campaign ROI to drive pipeline, net-new customers, and consumption.

Lead presales enterprise architecture for Data/AI and Applications, designing integrated multi-tower solutions (data platforms, GenAI, MLOps, application modernization, cloud, integration, AIOps). Drive account planning, C-suite workshops, bid leadership, value cases, demos, portfolios, and in-contract innovation while coaching teams and ensuring delivery and commercial alignment.

Lead end-to-end deployment of Cohere's North platform in private/hybrid cloud and on-prem environments. Partner with enterprise IT to assess infrastructure, security, and data practices; design tailored deployment strategies; administer production Kubernetes clusters; troubleshoot deployment issues; and ensure compliance with data privacy and security standards while engaging directly with customers.

Lead end-to-end deployments of Cohere North in private cloud and on-prem environments. Partner with enterprise IT to assess infrastructure, security, and data practices. Design and implement tailored deployment strategies, administer production Kubernetes clusters (Helm), support CI/CD and Git workflows, troubleshoot issues, and ensure compliance with data privacy and security. Customer-facing role with frequent experimentation and up to ~20–40% travel.

Designs, manages and optimises hybrid Azure and on-premises infrastructure. Administers Windows Server, identity services, virtualization, storage, backup and disaster recovery. Provides Level 3 support, leads migrations and cloud modernisation, ensures security/patching, monitors performance, maintains documentation, and participates in on-call and incident management while driving governance and cost optimisation.

Provide consultative engineering and high-tier support for enterprise ClickHouse customers. Split time between project engineering (architecture, integration, performance testing, migrations, tooling) and consultative support (L1-L3 cases, onboarding, POCs). Partner with Product, Engineering, and Sales, create documentation and benchmarks, mentor hires, participate in on-call rotation, and travel up to 35% for onsite regional work.

Provide technical, customer-facing support for ClickHouse users across APJ/APAC/EMEA via tickets, chat, Slack, and calls. Troubleshoot, triage, and mentor colleagues; develop documentation, knowledge base content, and reusable solutions; collaborate with Engineering, Product, and Go-to-Market for product feedback and proofs-of-concept.

Act as a technical lead for strategic customers, driving container and AI adoption across pre/post-sales and product teams. Lead design partner prototyping, create demos/enablement content, gather field feedback, and align product engineering to customer workflows. Serve as a regional thought leader and travel up to 50% to represent Docker.

Design and build cloud-native full-stack applications, own technical decisions and architecture, improve CI/CD/observability, lead incident response, mentor engineers, and drive adoption of AI-assisted engineering to improve quality and delivery.

Design and implement scalable cloud-native data architectures, build and optimise ETL and big-data pipelines using Databricks/Spark/Delta Lake, ensure data quality and governance, automate workflows with Python/Scala/SQL, and collaborate with data scientists and analysts to enable AI-driven insights.

Design and implement scalable Databricks-based data lakes and lakehouses, lead cloud migrations, optimize integrations and performance, advise on security and cost, and upskill customer teams through workshops and mentorship.

Develop and optimize backend architecture for a multi-brain AI trading system. Design and implement AI/ML models and workflows, integrate blockchain and smart contracts, build and maintain APIs, databases, and cloud infrastructure, perform code review, testing, debugging and performance optimization, and ensure security, data integrity, and production readiness.

Act as Tier 2 escalation for complex software issues across microservices, APIs, containers, and integrations. Troubleshoot deployments and OS issues, build and optimize automations (Superblocks, n8n, Tines, webhooks, Zendesk), analyze ticket trends, document runbooks, and collaborate with Engineering to surface and resolve product bugs.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Lead and develop a high-performing software engineering team delivering Windows and web-based building automation products. Drive technical vision, architecture, product delivery, cross-functional collaboration, mentorship, process improvements, and timely resolution of production/customer issues.

Lead administration and support of corporate Microsoft infrastructure, VDI/RDS access platforms, virtualization, storage, backups, and cloud services. Perform AD domain/forest migrations, replace legacy VDI and load‑balancing stacks, maintain documentation, resolve incidents to SLA, participate in projects and on‑call rotation, and collaborate with NOC, InfoSec, DevOps, and L2 teams.

As a Database Reliability Engineer, you will enhance ClickHouse's reliability and performance, manage incident responses, and aid multiple teams in effective ClickHouse implementation.

As an AI Consulting Solutions Engineer, you'll lead pre-sales efforts for Netskope's AI Security products, assist sales teams, engage customers, and collaborate with product management.

As a Manager of Solutions Engineering, you will lead a team focused on providing cloud security solutions, working closely with sales teams, and driving operational excellence through hands-on technical leadership.

Full-cycle enterprise sales role selling cloud data security and risk management solutions to Fortune 500 customers. Responsible for prospecting, pipeline generation, executive engagement (CISO/CDO/CIO), creating custom proposals and PoVs, negotiating and closing deals, partner/channel growth, and cross-functional collaboration with engineering, success, product and marketing. Requires territory planning, forecasting, and frequent customer travel.

Full-cycle mid-market Account Executive selling cloud data security solutions. Responsible for prospecting, pipeline generation, forecasting, delivering tailored demos/PoVs, negotiating and closing deals, building executive relationships (CISO/CDO/CIO), partnering with channels and internal teams, and attending events to grow market presence.

Customer-facing technical role providing SRE-style support for GPU clusters, LLM inference, and fine-tuning. Troubleshoot production incidents, run infra-as-code changes, validate migrations, monitor observability dashboards, and translate technical findings to customers and engineering. Drive improvements by surfacing patterns and maintaining documentation.

Lead partner-facing technical enablement and integrations for Docker across ISVs, CSPs, SIs, and VARs. Design scalable training and certification programs, deliver workshops, support joint GTM and technical validation, align product roadmaps with partners, create reusable integration content, and represent Docker at events. Collaborate closely with sales, field SEs, technical alliances, product, and engineering to drive partner adoption and co-sell opportunities.