Top Azure Jobs in Melbourne

Deliver technical product presentations and demos, configure installations during POVs, liaise with Product Management for account requirements, train and support Sales on technical and competitive messaging, act as a trusted advisor to prospects/customers to ensure project success, and travel as required.

Drive revenue growth within assigned enterprise accounts by building pipeline, prospecting into CTOs and engineering/IT leaders, closing complex deals, and partnering with Solutions Architects, Professional Services, Customer Success and channel partners to maximize deal size and satisfaction.

Lead strategic customer success for a portfolio of Enterprise (G2000) accounts, driving retention, revenue realization, and advocacy. Advise on complex technical and operational strategies, conduct business reviews, create mutual success plans, and coordinate cross-functional resources. Mentor team members, influence product direction with customer insights, and maintain accurate account data while leveraging AI to improve engagement and efficiency.

Drive revenue growth within assigned enterprise accounts by prospecting, qualifying, and closing complex deals. Target CTOs and engineering/IT leaders, partner with solution architects, professional services, customer success and channel partners, and participate in sales enablement and training programs.

As a Technology Consultant I at Dynatrace, you will deliver services based on the Dynatrace Platform, provide client training, monitor application performance, and assist with troubleshooting. You will also create reports, enhance clients' operations, and identify new opportunities for sales.

The Senior Cloud Security Consultant conducts security assessments, designs detection logic, automates tasks, and collaborates on client engagements to enhance security in cloud environments.

Lead technical engagements for major enterprise accounts: architect observability, AIOps, and security solutions; run PoVs/POCs; present to C-suite; support sales and partners; evangelize at events; and provide product feedback to improve market fit.

Lead presales technical engagements for SailPoint in A/NZ: discover requirements, demo and align identity governance solutions, support RFx responses, engage customers and partners, collaborate with sales and product teams, and mentor team members.

Lead technical pre-sales engagements for New Relic, discover customer needs, design and demonstrate observability solutions, run proofs-of-concept, remove technical objections, partner with sales to drive revenue and build executive relationships.

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.

Designs, modernizes, and implements AI-ready data platforms and production-grade batch and streaming pipelines on Databricks. Responsibilities include developing ETL/ELT solutions with Python, SQL, and PySpark; applying Delta Lake, DLT, Unity Catalog, data modeling, governance, and quality practices; optimizing distributed workloads; integrating cloud services and enterprise systems; and supporting Git-based CI/CD, DataOps, and deployment automation. The role also involves collaborating with architects, engineers, and business stakeholders on client engagements.

Lead enterprise SD-WAN, SASE, cloud networking, and security transformation programs. Responsibilities include requirements translation, architecture design, technical documentation, implementation, testing, migration, cutover, troubleshooting, stabilization, and stakeholder management across multi-vendor environments. The role provides technical leadership while coordinating clients, project teams, and technology vendors to deliver secure, scalable networking solutions aligned with governance, milestones, and business objectives.

Leads enterprise network and cloud transformation programs across SD-WAN, SASE, cloud connectivity, data center networking, and security. Designs scalable architectures, develops transformation roadmaps, reviews RFPs and RFIs, produces HLDs and LLDs, and provides technical leadership through implementation and migration. Partners with senior stakeholders, evaluates emerging technologies, supports multi-vendor environments, and ensures governance and solution quality across complex enterprise programs.

Operate and support enterprise SD-WAN, SASE, firewall, cloud networking, and core network environments. Deploy and maintain secure connectivity, Zero Trust policies, routing, QoS, and security controls across large-scale infrastructures. Troubleshoot complex incidents, perform root cause analysis, support changes and on-call operations, maintain documentation, and contribute to continuous improvement. The role also involves collaboration with engineering and client teams and mentoring junior staff.

Design and develop data science solutions for Telstra’s operational systems using Python, SQL, predictive modeling, and AI. Responsibilities include feature engineering, model development, data product creation, GenAI and LLM experimentation, stakeholder collaboration, deployment, validation, and continuous improvement of production solutions.

The Senior AI Engineer will design AI systems, develop machine learning applications, contribute to AI production processes, and collaborate with teams to enhance product efficiency.

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.

Design and implement system software and components for Azure storage virtualization, including drivers, libraries, telemetry, and diagnostics. Collaborate across teams, ensure reliability, security, testability, and monitor systems at cloud scale. Serve as on-call DRI to detect, alert, and remediate service issues.

Lead cloud security engineering and incident response across AWS and Azure environments. Manage CSPM, CWPP, SIEM, vulnerability management, cloud monitoring, threat detection, and security controls. Develop detection rules, dashboards, log integrations, threat-hunting processes, and automation using Python or PowerShell. Secure Kubernetes, Docker, CI/CD pipelines, and infrastructure-as-code deployments. Perform L3 troubleshooting, investigations, root cause analysis, governance support, documentation, and mentoring of junior analysts.

Design, implement, and maintain highly available cloud and on-prem infrastructure; improve platform availability (SRE); manage automated build/CI-CD pipelines; apply IaC, containerization, observability, and security best practices under senior mentorship.

Lead and deliver data analytics solutions for audit engagements using Databricks, PySpark, SQL and Azure. Manage engagements, mentor junior staff, oversee stakeholder communication, drive quality improvements, and apply AI-powered tools to generate actionable audit insights.

Design, build, and deploy scalable, secure technology solutions across the full project lifecycle. Partner with stakeholders and Group Technology to produce architecture and integration designs, prototypes, and runbooks. Embed security by design, support testing and operational handover, evaluate platforms, and improve engineering and delivery practices to meet strategic business objectives.

Builds and maintains development infrastructure, secure environments, automation, monitoring, and observability systems. Ensures product reliability, performance, uptime, and scalability while improving release processes and reducing technical debt. The role is a senior individual contributor who sets technical standards, contributes to strategy, mentors peers, supports incident resolution, and collaborates across product development teams.

Leads strategic enterprise sales conversations for Azure cloud and AI transformation across financial services customers. Owns complex opportunities spanning infrastructure, data, applications, AI, and developer platforms from discovery through commitment, deployment, adoption, and expansion. Builds executive relationships, business cases, pipelines, forecasts, and territory plans while coordinating solution engineers, customer success teams, Microsoft engineering, and partners.

Lead Azure cloud and AI platform design, implementation and operation. Build secure, governed landing zones and AI-ready environments, automate via IaC and GitOps, enable developer tooling, design agentic workflows and responsible AI practices, and produce reusable architectures and delivery patterns while advising customers and supporting proposals.