Top Azure Jobs in Melbourne

Provides senior technical pre-sales leadership for enterprise, public-sector, and commercial customers in Melbourne. Designs hybrid and multi-cloud architectures, leads technical discovery, presents solutions to technical and executive audiences, runs proofs of concept, supports competitive evaluations, advises customers on cyber resilience and data protection, and partners with account teams to qualify and win opportunities.

Support alliance managers, solution providers, and managed service partners across Australia by delivering cybersecurity enablement, technical training, demonstrations, proof-of-concept guidance, accreditation support, and opportunity assistance. Build trusted partner relationships, promote CrowdStrike’s cloud-native security platform, improve partner technical independence, support joint sales initiatives, and identify professional services opportunities. The role requires security architecture knowledge, strong communication, consulting or sales engineering capability, AI technology experience, and travel to partner locations.

Develop and maintain enterprise-grade C# and .NET applications, RESTful APIs, event-driven microservices, and distributed systems on AWS. Design PostgreSQL schemas, optimize queries, and support high-volume workloads across the full software development lifecycle. Collaborate with product owners and architects while meeting compliance, security, resiliency, and service-level requirements. Use and evaluate AI-assisted development tools responsibly for coding, testing, refactoring, documentation, and automation.

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.

The Infrastructure Technical Lead will manage cloud and IT infrastructure, ensure datacenter operations quality, handle troubleshooting, and enforce security protocols, while collaborating on projects and assisting teams across regions.

Leads enterprise business application strategy, capability modeling, target-state architecture, application portfolio rationalization, and transformation roadmaps. Guides platform investment, solution design, governance, security, privacy, resilience, interoperability, and modernization decisions. Partners with business and technology leaders across cloud, data, integration, cybersecurity, infrastructure, and AI. Establishes architecture principles and design assurance while mentoring architects and influencing executive stakeholders.

Lead a data science chapter developing and scaling machine learning, Generative AI, and agentic AI solutions for fraud and scams. Guide technical direction, architecture, experimentation, evaluation, deployment, monitoring, responsible AI, and model governance. Partner with product, engineering, MLOps, risk, and business teams while coaching data scientists and strengthening delivery practices in a regulated environment.

Designs and maintains enterprise endpoint environments and desktop standard operating environments. Provides architectural guidance, escalation support, mentoring, customer consulting, and continuous improvement across endpoint management, Windows deployment, security, VDI, cloud, and hybrid infrastructure. The role requires strong stakeholder, communication, planning, budget, and vendor-management skills, along with eligibility for Australian Government Baseline clearance.

Lead the design, development, and production operation of agentic AI applications. Build reliable AI systems with planning, tool use, context, memory, evaluation, security, and responsible AI controls. Partner with Product, Data, Platform, and Security teams on architecture, deployment, monitoring, and operational readiness. Provide technical leadership, mentor engineers, establish reusable engineering practices, and guide complex delivery across Azure, Databricks, and related platforms.

Support and maintain data-focused customer applications by monitoring systems, resolving production incidents, managing service requests, and improving application reliability, scalability, security, and maintainability. The role involves collaboration with engineering teams, customers, vendors, and service providers, as well as application enhancements, documentation, audit support, and guidance for junior and offshore team members.

Develop and deploy AI, generative AI, machine learning, and data science solutions for consulting clients. Responsibilities include building RAG pipelines, AI agents, LLM applications, predictive models, deep learning systems, optimization solutions, and big-data applications. The role also involves model evaluation, AI observability, governance, research, and collaboration with architects, engineers, data scientists, and clients.

Manage sensitive and escalated customer and partner issues, coordinating internal teams, vendors, and stakeholders to drive resolution. Lead strategic projects, mentor support managers, improve resolution processes, identify recurring issues, establish protocols, and communicate with senior and C-level stakeholders. The role requires Microsoft product expertise, cloud certification, incident and escalation management experience, and successful completion of Microsoft’s Cloud Background Check.

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 a specialist data science chapter delivering production-grade machine learning, generative AI, and agentic AI solutions. Drive architecture, experimentation, evaluation, deployment, monitoring, responsible AI, and model governance in a regulated environment. Partner with engineering, MLOps, risk, architecture, and business teams while coaching data scientists and advancing technical excellence across fraud and scam prevention initiatives.

Lead go-to-market planning and execution for datacenter expansion in Australia/New Zealand. Build multi-year growth plans, drive pipeline and anchor tenant acquisition, align engineering and product features to customer needs, develop business cases, orchestrate cross-functional stakeholders, and support PR and marketing for datacenter launches.

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.

Designs and deploys production-ready Generative AI and cloud solutions for enterprise customers across Australia and New Zealand. Responsibilities include building AI agents and RAG platforms, integrating enterprise data and APIs, developing cloud-native applications, establishing monitoring and governance, leading technical workshops and proofs of concept, advising stakeholders, and mentoring engineers. The role requires strong Python, GCP, Vertex AI, Kubernetes, Terraform, CI/CD, DevOps, enterprise security, and customer-facing engineering experience.

Designs and operates identity and access controls across AWS, GCP, and Azure. Builds Terraform modules, policy guardrails, automation, and internal tooling to enable secure cloud access at scale. Leads technical design discussions, improves reliability, establishes IAM performance metrics, closes identity gaps, and mentors engineers. Collaborates with platform, security, and product teams to integrate secure-by-default controls and improve developer experience.

Designs and implements Azure cloud infrastructure, governance, compliance automation, and DevOps solutions. Responsibilities include PowerShell DSC configuration, Azure Policy enforcement, Terraform modules, Azure DevOps CI/CD pipelines, monitoring, observability, testing, technical design, documentation, and knowledge transfer. Provides technical leadership, establishes engineering standards and IaC patterns, collaborates with architects and delivery teams, and ensures cloud platforms meet security, resilience, reliability, and operational requirements.

Provides technical presales and consulting support for Microsoft AI and cloud solutions. Engages customers and partners, leads technical discussions, develops account and consumption strategies, demonstrates architectures, oversees proofs of concept, and drives technical wins. Advises on security, compliance, migrations, integrations, and digital transformation while relaying competitive insights to product and engineering teams.

Manage customer relationships and support engagements for Microsoft cloud adoption. Drive proactive support programs, cloud consumption, customer experience, environment health, and strategic escalations. Coordinate Microsoft teams, account planning, technical resources, and service delivery to resolve blockers and deliver measurable business outcomes. The role requires strong relationship management, program coordination, Microsoft technology knowledge, executive communication, and experience managing IT support and solutions.

Design, develop, and optimize Salesforce Commerce Cloud eCommerce solutions, including storefronts, cartridges, integrations, APIs, and composable commerce architectures. Build agentic commerce capabilities involving AI agents and LLM-driven experiences. Collaborate with cross-functional teams, optimize performance and SEO, manage CI/CD practices, troubleshoot production issues, and advise stakeholders on emerging commerce technologies.

Owns Splunk data onboarding, normalization, parsing, field extraction, TA deployment, and data quality across hybrid on-premises and cloud environments. Configures and troubleshoots ingestion pipelines, CIM alignment, indexes, sourcetypes, timestamps, and data models. Supports Splunk Enterprise Security, dashboards, correlation searches, and reporting while monitoring pipeline health, performance, governance, and reliability. Partners with Security and IT teams to define requirements, validate log sources, maintain deployment processes, and document operational standards.

Lead a squad of 3–5 engineers while remaining hands-on with full-stack development, architecture, coding, code reviews, reliability, and production delivery. Partner with Product and Design to build secure, scalable home lending platforms. Own the software lifecycle, promote CI/CD, DevOps, observability, automated testing, AI-assisted development, and continuous improvement. Influence engineering strategy, technical standards, platform sustainability, and capability uplift across the broader engineering organization.

Own Level 2 support and technical delivery for a critical production platform. Responsibilities include incident and problem management, production changes, vendor coordination, AWS and Azure cloud engineering, Infrastructure as Code, CI/CD automation, container support, monitoring, observability, documentation, and participation in a mandatory shared 24x7 on-call rotation.