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.

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.

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.

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.

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.

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.

As a Solutions Engineer, you will provide technical expertise to prospective customers, supporting them in evaluating the Sonar product and ensuring successful adoption.

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.

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.

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.

Partner with sales and cross-functional teams to win deals by designing and demonstrating Snowflake-based data and AI solutions. Lead discovery, workshops, proofs-of-concept, and technical presentations; translate business needs into architecture and implementation patterns; build trusted relationships with technical and executive stakeholders to drive adoption and long-term value.

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.

Lead the cyber security function across Security Operations, Security Engineering and GRC. Define and deliver security strategy, embed secure-by-default practices into cloud, CI/CD and developer tooling, strengthen identity and zero-trust, secure GenAI platforms, manage detection/response and vulnerabilities, advise executives, and build a high-performing security leadership team.

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.

The Senior Data Analyst will gather business requirements and build scalable analytics solutions. Responsibilities include creating reliable datasets with SQL and Python in Databricks, developing Power BI dashboards and data models, automating data workflows with PySpark, supporting data pipelines, and collaborating with technical and non-technical stakeholders. The role also involves working with Azure cloud platforms and applying data governance, quality, documentation, security, and integration best practices.

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.