Top Azure Jobs in Sydney

Provide advanced technical support to major MongoDB customers, resolving complex architecture, performance, recovery, security, networking, database, and infrastructure issues. Design and troubleshoot scalable production environments involving Linux, Kubernetes, storage, and automation. Develop internal diagnostic and support tools, document solutions, deliver training, mentor peers, and collaborate with product and engineering teams on customer escalations and new MongoDB capabilities.

Leads large-scale network infrastructure refresh and modernization projects from proposal through migration completion. Manages project plans, budgets, schedules, risks, issues, resources, vendors, customers, and technical teams. Oversees network refreshes, site rollouts, and cloud connectivity initiatives while facilitating reviews, reporting progress, and driving continuous improvement. Requires strong communication and leadership skills, network infrastructure knowledge, and the ability to communicate with customers and prepare documentation in Japanese.

Own technical success for strategic APAC customers from onboarding through production, scaling, and expansion. Responsibilities include deployment and performance tuning across Qdrant Cloud and Kubernetes, first-line technical support, architecture reviews, pre-sales assistance, partner enablement, stakeholder management, and customer feedback to Product and Engineering. The role also establishes regional playbooks and processes while serving as Qdrant’s technical representative in APAC.

Analyze high-volume telecommunications network data using SQL and Python, build and maintain Power BI or Tableau dashboards, automate reporting workflows, and provide stakeholder-facing insights. The role monitors network KPIs such as accessibility, retainability, mobility, and throughput, supports optimization across 3G, 4G/LTE, VoLTE, and 5G-NR networks, and drives improved performance and reporting efficiency through data-led interventions.

Leads the ANZ sales engineering team, mentors team members, and partners with sales, product, and R&D to support revenue growth. Develops technical solutions, presentations, demonstrations, proof-of-concepts, architectures, proposals, and customer documentation for Cyera’s data security platform. Advises customers throughout the sales cycle, tracks market and technology trends, supports thought leadership activities, and maintains relationships with customers and partners. Travel of up to 75% is required.

Drive complex mid-market sales opportunities for cloud data security solutions. Responsibilities include architecting customer solutions, delivering proof-of-value engagements and technical demonstrations, consulting with executives, coordinating internal resources, supporting partners, and representing the company at marketing events.

Develop and maintain high-fidelity detections across identity, endpoint, SIEM, and operating-system environments. Conduct hypothesis-driven threat hunts across large-scale telemetry, translate threat intelligence and investigations into detection rules, tune detection efficacy, investigate ambiguous attacker activity, and escalate likely intrusions with clear incident reports. The role also involves building hunting queries and dashboards, contributing to security content, and validating AI-assisted analysis and detection workflows.

Senior Azure Customer Experience Engineer responsible for resolving critical cloud issues, performing root-cause analysis, managing escalations, advising customers on Azure deployments and configurations, and conveying customer feedback to product and engineering teams to improve service reliability.

Leads Dayforce integrations across architecture, REST APIs, microservices, and user interfaces. Supports existing integrations, client implementations, go-live activities, and post-launch error resolution using Azure reporting tools. Develops technical documentation and training programs, troubleshoots integration issues, and collaborates with clients, project managers, partners, and technical teams. This is a 12-month contract with possible extension.

Build and maintain secure, scalable API platform capabilities, cloud-native services, integrations, and developer tooling. Drive DevOps automation, CI/CD, infrastructure improvements, platform reliability, monitoring, and performance. Collaborate with engineering, architecture, product, and cross-functional teams while supporting production services through an on-call roster. Contribute to AI gateway services, internal developer platforms, governance, and self-service capabilities.

Administer, secure, optimize, and develop SQL Server environments across on-premises, clustered, high-availability, and Azure platforms. Responsibilities include upgrades, migrations, performance monitoring, backup and disaster recovery, security controls, documentation, automation with T-SQL, and Level 2/3 support. The role collaborates with IT, production, engineering, and data analytics teams while supporting Azure Data Factory, Microsoft Fabric, and Dataverse environments.

Develop and enhance Microsoft Dynamics 365 CRM and Power Platform solutions across customer service, sales, journeys, and data. Design Dataverse models, integrations, security, workflows, and model-driven applications. Support data migration, quality remediation, ALM, CI/CD, deployments, documentation, troubleshooting, and production support while collaborating with architects, consultants, testers, and business stakeholders.

Operate and support production Microsoft Azure environments for managed-services customers. Responsibilities include monitoring platform health, resolving incidents, performing root-cause analysis, implementing automation and Infrastructure-as-Code, managing identity and access through Entra ID, applying security and governance controls, and supporting maintenance, backup, cost optimization, and continuous service improvement. The role also requires customer communication, technical documentation, risk reporting, and collaboration with delivery teams under service-level agreements.

Develop and operate scalable data platforms and pipelines across their full lifecycle. Design cloud-based solutions, build reliable data products, optimize Snowflake and cloud costs, and implement orchestration, transformation, testing, security, governance, and observability. Provide technical direction, review designs and code, mentor engineers, and collaborate with architects, product owners, analysts, and visualization engineers.

Supports sales growth by providing technical leadership to customers and prospects, delivering demonstrations, presentations, whiteboarding sessions, and proof-of-value engagements. Advises customers on cloud security across AWS, Azure, and GCP, develops test plans, supports account executives, represents the company at technical events, and stays current on product and industry developments. Travel of up to 40% is required.

Lead technical strategy and solution development for managed service provider partners. Architect cloud security solutions, deliver demos and enablement, build technical champions, support managed security offerings, and act as a trusted cloud security advisor. The role requires deep expertise across cloud platforms, DevSecOps, identity, containers, AI security, and multi-tenant MSP or MDR environments, with travel up to 40%.

Lead technical qualification and deliver customised demos and proofs-of-concept for enterprise prospects across ANZ. Advise on data architecture, ingestion, governance, and rollout strategies; partner with sales and post-sales teams to drive revenue and ensure successful implementation and measurable business outcomes.

Serves as the primary technical and customer support contact for complex Azure issues and projects. Troubleshoots mission-critical applications, conducts health checks and root-cause analysis, manages escalations, advises on Azure configurations and deployments, and communicates technical issues to varied audiences. Synthesizes customer feedback, identifies product and knowledge gaps, advocates for platform improvements, and partners with engineering, product, field, and support teams to improve reliability and customer experience.

Design and deliver production-grade GenAI and LLM applications end-to-end: architecture, cloud deployment, containerisation, APIs, data pipelines, evaluation and observability. Collaborate with clients and domain experts, mentor junior team members, conduct code reviews, and support technical scoping and proposals.

Designs enterprise Azure architectures for migrating utilities CRM data from SAP to SaaS platforms. Leads data modeling, integration, security, compliance, reconciliation, governance, cutover, and production-readiness activities. Partners with utilities stakeholders, CRM specialists, SAP teams, SaaS vendors, and engineering teams to deliver scalable, secure solutions using Azure data and integration services. Supports testing, regional cutovers, go-live, architecture assurance, and knowledge transfer in complex regulated environments.

Designs and delivers scalable, secure, cloud-native platforms using Azure, software engineering, data engineering, APIs, automation, and AI. The role modernizes legacy applications and integrations, builds resilient platforms, translates business needs into technical solutions, and collaborates with stakeholders and engineering partners to improve operational efficiency and business growth.

Owns the full sales cycle for Azure and AI opportunities across digital-native customers. Builds pipeline, develops territory plans, engages executive and technical stakeholders, positions Microsoft cloud solutions, coordinates cross-functional teams, facilitates pilots and proofs of concept, delivers accurate forecasts, and drives Azure, AI, data, analytics, and cloud platform adoption.

Designs and operates secure, scalable hybrid-cloud platforms for a trading firm. Responsibilities include managing AWS, Azure, and Google Cloud environments; deploying Kubernetes, Spark, Kafka, and distributed databases; automating infrastructure with Terraform, Ansible, Jenkins, and GitLab; improving cloud governance; monitoring production systems; maintaining CI/CD pipelines; troubleshooting Linux environments; and leading technical initiatives while mentoring engineers.

Supports and optimizes hybrid cloud and on-premises infrastructure across Azure, Microsoft 365, Windows Server, virtualization, storage, networking, identity, backup, and disaster recovery environments. The role delivers cloud transformation initiatives, automation with PowerShell, monitoring, troubleshooting, security improvements, Level 3 support, and technical guidance while collaborating with business and IT stakeholders.

Leads advanced data analysis, develops dashboards, KPIs, and analytical models, and translates business problems into data-driven solutions. Works with complex datasets using Databricks, SQL, Python, BI tools, and cloud data platforms. Partners with engineering and governance teams, promotes analytics standards, mentors analysts, and communicates insights to stakeholders. Supports strategic decisions through descriptive, predictive, and prescriptive analytics.