Top Azure Jobs in Sydney

Lead technical pre-sales engagements by designing scalable MongoDB-based architectures, advising customers, conducting technical discovery, demonstrations, proofs of value, sizing, and presentations. Partner with sales teams on account strategy, pipeline generation, and demand creation while fostering customer success. Mentor team members, communicate product value to technical and business stakeholders, and support cloud, modernization, DevOps, database, and AI architecture initiatives.

Generate qualified sales pipeline through outbound prospecting across strategic accounts. Research organizations, conduct discovery conversations, apply MEDDIC qualification, maintain accurate Salesforce records, support early deal progression, and collaborate with Account Executives. The role includes structured onboarding, technical and sales training, coaching, and a defined path toward Account Executive and other revenue positions.

Owns the technical relationship for strategic enterprise customers, driving Dynatrace adoption, platform health, success planning, optimization, executive engagement, case escalation, change-window support, and long-term value. Advises on observability architecture, cloud-native environments, upgrades, migrations, ITSM and CMDB integrations, and governance. Coordinates cross-functional teams, manages risks and recovery plans, leads QBRs, and advocates for customer enhancement requests.

Designs and builds automation, detections, integrations, and cloud-native tooling for internal incident response and security operations. Partners with CSIRT and incident response teams to automate investigations, improve detection fidelity, reduce false positives, operationalize threat intelligence, and develop scalable response capabilities. The role requires software engineering, DevOps, cloud, infrastructure-as-code, security telemetry, and hands-on cybersecurity incident response experience.

Lead complex, multi-host intrusion investigations across endpoint, identity, and SIEM telemetry. Perform malware analysis, threat research, detection engineering, automation, and agentic workflow development. Own SOC quality, review analyst and AI output, improve detection and remediation, mentor analysts, and advise on SOC direction. Collaborate with Product, Engineering, and Threat Hunting while communicating technical risks to diverse audiences and publishing security research.

Senior Customer Success Engineer responsible for advising enterprise customers, troubleshooting Dynatrace configurations and integrations, driving product deployment and adoption, supporting renewals and expansion, conducting technical demonstrations and training, and coordinating with Support, Product, R&D, and account teams. The role also mentors other engineers, contributes to success plans, and communicates recommendations to executive stakeholders.

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.

Build scalable backend and frontend services for MongoDB’s application modernization platform. Develop APIs, data pipelines, code analysis tools, dependency graphs, and schema recommendation features. Collaborate with product, engineering, and design teams; contribute to architecture, testing, CI/CD, code reviews, troubleshooting, and technical documentation. Senior engineers will mentor teammates, lead complex feature design, and support recruiting and interviewing.

Build and improve core AI and machine learning infrastructure enabling teams to develop, train, evaluate, deploy, and operate ML models and pipelines. Design scalable distributed systems, support end-to-end ML lifecycles, implement MLOps automation, collaborate with product engineering teams, lead projects from design through launch, review code, document solutions, and mentor junior engineers. Work may include dataset curation, LLM fine-tuning, model serving, monitoring, and generative AI systems.

Lead complex backend engineering initiatives from technical design through launch. Design architectures, deliver solutions used across teams and products, resolve high-risk issues, establish code review and documentation standards, and influence company-wide technical decisions. Mentor engineers, evaluate performance and reliability trade-offs, and contribute to developer experience and productivity using modern cloud platforms, multiple programming languages, and CI/CD practices.

Deploys, configures, optimizes, and supports CrowdStrike Falcon’s AI-powered detection and response capabilities. The role develops automation playbooks and API integrations, tunes machine-learning detection models, troubleshoots customer issues, supports threat hunting and forensic analysis, integrates security workflows, and leads AI workshops. It also requires customer engagement, technical presentations, project prioritization, cross-functional leadership, and mentoring while applying cybersecurity, AI/ML, and platform deployment expertise.

Lead strategic initiatives improving the health, resiliency, and operational maturity of critical Azure customer workloads. Act as a trusted advisor during prevention, incident response, and recovery; coordinate executive communications; identify systemic risks; and translate customer issues into platform enhancements. Partner across engineering, product, support, and field teams to influence roadmaps, prioritize investments, and deliver measurable multi-quarter improvements across Microsoft Cloud.

Lead customer experience transformation engagements involving CRM, CCaaS, contact centers, Power Platform, automation, and AI. Design scalable solution architectures, conduct technical discovery, workshops, demonstrations, and proofs of concept, and advise executive stakeholders. Partner with sales, engineering, partners, and customers throughout the sales cycle. Address integration, security, governance, data, and enterprise architecture while mentoring other Solution Engineers.

Leads enterprise sales growth across Australia and New Zealand, building and managing a high-performing sales team, owning revenue and forecasting, directing complex strategic sales cycles, developing cloud and technology partnerships, engaging C-level customers, and aligning regional go-to-market strategy with global leadership.

Monitor and investigate SIEM alerts, manage incidents through resolution, analyze attack chains, tune detection rules, assess attack-surface exposures, validate vulnerabilities using penetration-testing techniques, communicate with clients, write security reports, onboard clients, integrate log sources, and develop incident-response playbooks. The role requires shift work, including occasional weekends and public holidays, and supports cloud security operations across AWS, Azure, and GCP environments.

Monitor and investigate SIEM alerts, respond to incidents, validate attack surface exposures using penetration testing techniques, tune detection rules, communicate with clients, write cybersecurity reports, onboard clients, integrate log sources, and develop incident response playbooks. The role requires cloud security knowledge across AWS, Azure, and GCP, familiarity with MITRE ATT&CK, web application vulnerabilities, SIEM tools, and penetration testing technologies.

Design, deploy, automate, and support secure cloud-based solutions on the Dedalus Cloud Platform. Responsibilities include infrastructure scripting, application onboarding automation, high-availability architecture, deployment testing, configuration management, root cause analysis coordination, and collaboration with architects, product teams, and global stakeholders. The role requires expertise in Azure or AWS, networking, cloud automation, DevOps pipelines, and platform development.

Designs commercially viable managed workplace solutions for complex customer opportunities. Responsibilities include requirements discovery, solution architecture, costing, pricing, proposal development, technical documentation, customer presentations, and coordination of technical and commercial contributors. The role covers Microsoft 365, endpoint management, identity, collaboration, mobility, device lifecycle, workplace support, security, automation, and AI. It also provides peer guidance and supports workplace renewals, migrations, transformations, and service transitions.

Leads Anthropic’s APAC partner marketing strategy across ANZ, ASEAN, India, Japan, and Korea. Builds the regional operating model, team, partner programs, joint campaigns, events, and pipeline strategy. Manages partner marketing budgets and market development funds, drives co-investment, measures sourced and influenced pipeline, and aligns cloud providers, systems integrators, resellers, sales, field marketing, and global marketing teams to accelerate Claude adoption.

Administer and operate Azure Databricks platforms while enabling AI capabilities such as Model Serving, Vector Search, Lakebase, and MCP Server. Engineer Azure infrastructure, networking, security, governance, monitoring, and automation using Terraform, Bash, Azure DevOps, Git, and CI/CD. Support Spark, Delta Lake, Unity Catalog, and Lakehouse architectures, with AWS-to-Azure integration and AI/LLM platform experience preferred.

Analyze business and operational data, build Power BI dashboards and reports, validate data quality, support data modeling, and translate findings into actionable business insights. The role involves gathering stakeholder requirements, collaborating with engineers and consultants on analytics projects, preparing documentation, supporting workshops and user acceptance testing, and contributing to improved analytics standards in a consulting environment.

Design, develop, and deploy AI, machine learning, and Generative AI solutions for client environments. Build copilots, chatbots, RAG applications, intelligent automation, and AI workflows across enterprise cloud platforms. Collaborate with data engineers, consultants, architects, and stakeholders on solution architecture, technical design, evaluation, governance, and optimization. Translate technical concepts into business outcomes, create reusable accelerators, document solutions, and contribute to consulting engagements.

Designs, implements, administers, optimizes, and supports enterprise Microsoft Fabric environments. Responsibilities include data engineering, integration, warehousing, real-time intelligence, Power BI, CI/CD, DevOps, governance, security, monitoring, automation, performance tuning, and cost management. The specialist collaborates with technical teams and clients on architecture, discovery, documentation, and delivery of scalable analytics and AI-ready data platforms.

Designs and maintains scalable data pipelines, ETL/ELT processes, integrations, cloud data platforms, data models, and curated datasets. Implements orchestration, data quality, governance, monitoring, and performance improvements across client engagements. Collaborates with architects, analysts, consultants, and stakeholders to support reporting, business intelligence, AI, and operational outcomes. Contributes to technical discovery, solution design, documentation, reusable frameworks, and consulting delivery standards.

Designs, architects, configures, secures, optimizes, and supports enterprise Databricks environments. Develops scalable data engineering and analytics solutions, CI/CD pipelines, DevOps automation, governance, monitoring, and cost-management practices. Supports ingestion, transformation, orchestration, streaming, AI, and analytics workloads while collaborating with engineers, architects, consultants, and clients. Participates in technical discovery, stakeholder engagement, documentation, and reusable platform framework development.