Top Azure Jobs in Sydney

Provide expert technical guidance to large customers on MongoDB architecture, performance, recovery, security, and operations. Troubleshoot and optimize production deployments, build internal tooling and automation, document solutions, deliver training, and mentor peers. Work closely with product and engineering teams to improve customer outcomes.

Own a book of named major enterprise accounts in ANZ to drive renewals, upsells, cross-sells and net revenue retention. Identify whitespace and expansion opportunities, build multi-threaded executive and technical relationships, develop strategic account plans, lead complex commercial negotiations (renewals, ELAs, consumption models), and partner with Solutions Engineering, Customer Success, and Product to deliver outcomes and shape the roadmap.

Design, develop and maintain backend APIs for various services, optimize performance, and collaborate with teams for product strategy alignment.

Lead and resolve billing, usage metering, and cloud cost escalations by diagnosing metering discrepancies, usage spikes, billing anomalies, and quota enforcement. Collaborate with Product, Engineering, and Finance to escalate bugs and improve visibility; create tooling, playbooks, and training to enable global teams; communicate cost impact to stakeholders and surface customer feedback to influence product roadmap.

Partners with account executives to develop technical sales strategies for enterprise accounts. Leads discovery workshops, solution architecture, demonstrations, proofs of concept, executive presentations, and RFP responses. Advises customers on API management, enterprise integration, cloud architecture, security, AI gateways, and governed AI initiatives. Represents the company at industry events and supports thought leadership. The role is based in Sydney, requires Australian work rights, hybrid onsite attendance, and up to 25% travel across Australia and New Zealand.

Designs and implements Azure cloud solutions, CI/CD pipelines, and infrastructure-as-code deployments. Establishes cloud engineering standards for security, reliability, performance, quality, and cost optimization. Resolves complex production and software issues, partners with engineering teams, researches emerging cloud technologies, and mentors team members. Requires 5+ years of software development or cloud engineering experience and expertise with public cloud platforms and cloud-native systems.

Own and continuously improve enterprise network and security platforms across on-premises, data center, cloud, and branch environments. Provide Tier 3 incident support, lead root cause analysis, manage firewalls and secure traffic flows, design AWS and hybrid-cloud networking, mitigate vulnerabilities, and maintain operational standards. The role also involves stakeholder and vendor collaboration, mentoring junior engineers, network automation, documentation, and alignment with cybersecurity and regulatory requirements.

Enterprise Account Executive responsible for managing named Major Accounts, driving net‑new revenue and platform expansion. Build multi‑year account plans, execute outbound and multi‑threaded deals, align executives, negotiate complex commercial agreements, and work with solutions engineers and partners to position Vercel as a strategic infrastructure partner for web and AI transformation.

Hands-on Network Engineer responsible for designing, deploying, optimizing, and automating enterprise network infrastructure across traditional, cloud, and hybrid environments. The role requires expertise in routing, DNS, DHCP, VPNs, cloud networking, dedicated connectivity, network security, Infrastructure as Code, and highly available multi-region architectures. The engineer will support complex, multi-site environments and use Terraform or CloudFormation to automate network provisioning.

Designs, automates, and maintains enterprise Azure and GCP infrastructure using Terraform, Ansible, PowerShell, and shell scripting. Develops cloud landing zones, networking, deployment pipelines, security controls, FinOps governance, monitoring, backup, and disaster recovery solutions. Partners with architecture, cybersecurity, and network teams, modernizes legacy systems, and resolves critical production incidents.

Build and deploy full-stack AI and agentic applications for strategic enterprise customers. Partner with technical and executive stakeholders to move prototypes into production, shape AI roadmaps, design scalable architectures, and codify reusable solution patterns. Apply software engineering, data engineering, generative AI, LLMOps, and MLOps practices while mentoring teams and communicating customer feedback to product organizations.

Embeds with business teams to identify operational challenges and build software, AI, automation, data, and workflow solutions. Designs prototypes, integrations, and production applications; applies cloud, DevOps, governance, and responsible AI practices. Translates stakeholder needs into technical solutions, measures business value, supports adoption, and feeds recurring requirements into platform roadmaps.

Designs and leads enterprise Data & AI solutions on the Databricks Lakehouse across major cloud platforms. The role delivers end-to-end implementations, builds Spark and Delta Lake pipelines, optimizes performance and costs, and establishes DevOps, governance, security, and MLOps practices. It also involves customer workshops, executive presentations, stakeholder engagement, team mentoring, and architecture leadership throughout delivery.

Senior Data Engineer responsible for modernizing and simplifying data platforms across legacy and cloud environments. The role involves designing Snowflake, dbt, and Azure Data Factory solutions; supporting SQL Server warehouses; building pipelines and data products; improving reliability, governance, security, lineage, and operational excellence; and partnering with stakeholders during platform transformation. The engineer will also help enable future AI and machine-learning workloads through quality data products, model-supporting pipelines, and monitoring capabilities.

Lead technical discovery, design bespoke architectures, deliver demos and PoCs, and act as a trusted advisor across the customer lifecycle. Carry quota for adoption and expansion, run QBRs, and leverage AI-augmented workflows to automate routine tasks and focus on strategic technical outcomes.

Develop scalable full-stack software through hands-on coding, testing, debugging, and troubleshooting. Lead technical discussions, independently deliver medium-sized projects, improve engineering practices, and mentor junior engineers. Collaborate with product managers, stakeholders, and engineering teams while contributing to architecture, maintainability, and company objectives. The role primarily emphasizes backend development using Node.js, microservices, cloud services, CI/CD, TypeScript, GraphQL, WebSockets, Pub/Sub, PostgreSQL, and Elasticsearch, with frontend experience preferred.

Own the regional specialist sales team’s operating rhythm, including forecasting, pipeline inspection, business reviews, scorecards, planning, headcount, budget governance, and executive reporting. Translate global and area priorities into regional execution plans, coordinate cross-functional stakeholders across Asia, drive accountability, and support employee experience, readiness, and team health.

Leads UniSuper’s data science capability and a specialist team delivering predictive models, machine learning, and advanced analytics. Sets technical standards, oversees model development and production maintenance, establishes governance, monitors performance and fairness, and translates analytical outputs into business decisions. Partners with senior stakeholders and Product Owners to identify valuable opportunities, prioritizes work, evaluates commercial and operational impact, and supports financial crime, efficiency, and regulatory objectives.

Designs and administers secure, governed Google Cloud environments, focusing on IAM, RBAC, BigQuery permissions, policy tags, masking, service accounts, and least-privilege access. The role develops Terraform-based infrastructure, troubleshoots configuration issues, supports dbt and data-platform deployments, migrates governed data-access patterns, documents solutions, and guides engineers and stakeholders through cloud configuration and access challenges.

Act as a quota-bearing technical trusted advisor for enterprise customers: lead technical discovery, design bespoke architectures, deliver demos/PoCs across security, networking, Zero Trust and developer platforms, drive adoption/expansion, run technical QBRs, and leverage AI-augmented workflows to automate routine tasks.

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

Owns target-state architecture for digital banking channels, including mobile and internet banking, digital onboarding, public websites, identity, content, integrations, and personalisation. Designs secure, scalable, resilient solutions using API-led, microservices, event-driven, cloud-native, and backend-for-frontend patterns. Establishes architecture standards, governs digital integrations, ensures regulatory and security compliance, and guides delivery teams. Partners with product, engineering, technology, and business stakeholders while mentoring teams and maintaining architecture documentation.

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.

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.

Provides incident response, cyber investigations, penetration testing, adversary simulation, exploitation, attack path analysis, and security advisory services. The consultant investigates breaches, analyzes digital evidence, develops remediation recommendations, assesses security controls, produces executive and litigation-ready reports, supports client engagements and proposals, and collaborates with cybersecurity, forensic, legal, and IT teams.