Top Azure Jobs in Melbourne

Serves as the technical lead and strategic advisor for Zero Trust cloud security across Australia and New Zealand. Designs and positions security solutions for AWS, Azure, and GCP environments, leads customer discussions and Proof-of-Value engagements, provides competitive insights, enables field teams, and influences Zscaler’s product roadmap. The role requires enterprise security architecture, networking, cloud, AI/ML, presentation, and technical sales expertise.

Sets global cloud architecture standards, serves as the senior technical escalation point for strategic multi-cloud engagements, and advises executive customers. Leads complex architecture workshops, develops reference architectures and automation, mentors architects, influences product roadmaps, and improves professional services scoping and delivery. Requires deep AWS and Azure expertise, strong cloud security, data protection, automation, and enterprise architecture experience, with occasional travel.

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.

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

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.

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.

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.

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.

Design, develop, test, deploy, support, and improve enterprise-scale .NET applications. Participate in L3 on-call support, troubleshoot production incidents, conduct root cause analysis, and resolve complex technical challenges. Contribute to engineering standards and continuous improvement while collaborating with stakeholders and mentoring junior developers in an Agile and DevOps environment.

Lead the evolution of a multi-cloud platform across Azure and GCP. Design and operate cloud networking, automation, Infrastructure-as-Code modules, and shared platform capabilities. Drive reliability, security, governance, observability, and cost optimization while partnering with Security, SRE, and Product teams. Establish engineering standards, review architectures, mentor engineers, and lead incident response for critical platform issues.

Designs, develops, executes, and maintains automated tests and frameworks. The role supports automation-first strategies, test planning, API and BDD testing, quality engineering innovation, and documentation. It requires coding expertise, familiarity with testing tools and frameworks, object-oriented programming, Git, Agile practices, and strong communication. Cloud and continuous integration or deployment experience are desirable.

Lead engineering teams to improve Azure Storage service quality, resiliency, chaos engineering, and validation infrastructure. Integrate AI tools and Responsible AI across the SDLC, coordinate cross-team plans, resolve complex incidents, and ensure scalable performance and best practices.

Own the end-to-end sales cycle for Azure and AI solutions for digital-native customers. Build pipeline, engage executives and technical stakeholders, create business cases, coordinate cross-functional teams, run proofs-of-concept, and drive adoption of Azure, AI, Fabric, data, analytics, and cloud-native application solutions to meet sales and consumption targets.

Lead consultative sales of Microsoft security and cloud solutions to small and medium enterprise customers. Build pipeline, identify and close strategic opportunities, conduct technical security discussions and demonstrations, develop customer and partner strategies, manage channel sales, forecast results, analyze competitors, and collaborate with internal teams and partners. Mentor colleagues, orchestrate end-to-end opportunities, and drive cybersecurity transformation outcomes.

Leads requirements analysis for Investment Platforms initiatives, translating business needs into technical and system requirements. Facilitates workshops, designs data and process solutions with architects and engineers, supports agile planning, resolves complex issues, and advises stakeholders across technology teams, vendors, and business units. The role is a 12-month contract preferably based in Melbourne.

Designs, builds, and optimizes cloud-native data platforms, batch and real-time pipelines, and AI-powered data products using Snowflake, Databricks, AWS, and Azure. The role includes data architecture, governance, quality, observability, security, performance and cost optimization, infrastructure as code, and direct client collaboration. The engineer also contributes to technical design, estimation, delivery planning, and modern AI capabilities such as semantic search and RAG.

Supports cybersecurity operations by investigating security and identity incidents, managing access provisioning and reviews, monitoring alerts, maintaining IAM documentation, assisting vulnerability remediation, and building Splunk dashboards and automation. The role collaborates with technical teams, vendors, and stakeholders while following ITIL processes and security standards. It is designed for an early-career analyst with knowledge of identity governance, Active Directory, cloud security, SIEM tools, and security operations improvement.

Leads the design and production delivery of generative AI solutions for clients. Manages and mentors data scientists, sets engineering standards, oversees solution quality and documentation, supports technical scoping and pre-sales, and helps shape reusable AI components and team strategy. Requires strong AI and machine learning expertise, production architecture experience, Python skills, cloud-native development knowledge, and commercial communication abilities.

Leads data science project delivery for Woolworths, developing AI and analytics solutions that address complex business challenges. Manages and mentors a team of 3–5 analysts, maintains relationships with stakeholders and executives, and translates technical insights into clear recommendations. Applies Generative AI to improve analytical productivity and deliverable quality while providing hands-on technical leadership and presentations to non-technical audiences.

Design, implement, and maintain secure CI/CD and MLOps pipelines for AI/ML systems. Integrate security across model development, training, and deployment; run vulnerability assessments; implement monitoring; ensure compliance with security and privacy standards while collaborating with data scientists and IT teams.

Build and deliver production-grade generative AI and LLM applications using Python, machine learning, cloud platforms, APIs, SQL, and data pipelines. Contribute to AI evaluation, observability, testing, code reviews, and technical standards. Collaborate with clients and domain experts to define solutions, explain technical concepts, and communicate risks and trade-offs. The role supports end-to-end AI/ML delivery while developing technical and consultative expertise.

Lead Data and Analytics consulting projects from requirements through delivery. Design data warehouse, business intelligence, analytics, data integration, ETL, and data engineering solutions; lead small to medium teams; mentor junior staff; communicate with technical and non-technical stakeholders; contribute to proposals, business development, methodologies, and project collateral.