Top Azure Jobs in Melbourne

Develop and deploy end-to-end predictive machine learning models for Retail Media, optimise model performance, and conduct statistical experiments and hypothesis testing. Collaborate with product, engineering, analytics, and business teams, while communicating technical insights to varied stakeholders. The role also involves processing large-scale cloud data and exploring modern AI tools and agentic AI frameworks.

Drive new customer acquisition and expansion of Microsoft CSP relationships. Identify, qualify, and close Azure, Azure AI, Copilot, and GitHub opportunities while managing the full sales lifecycle. Build executive relationships, lead commercial discussions, develop proposals, negotiate contracts, and coordinate with Microsoft, Telstra, presales, engineering, and delivery teams to create technology solutions for enterprise customers.

Owns enterprise cloud sales strategy and execution across an assigned territory. Identifies cloud adoption opportunities, structures complex marketplace and managed-service deals, manages negotiations, and drives contract closure. Builds co-sell relationships with AWS, Azure, Google Cloud, system integrators, and resellers. Partners with sales, solution architecture, marketing, and customer success teams to grow pipeline, forecast accurately, accelerate deployment, and increase cloud consumption. Advises enterprise sales teams on cloud economics, marketplace opportunities, and hyperscaler engagement models.

Build, support, and evolve secure cloud and hybrid platforms for business-critical applications. Automate infrastructure and application delivery using Infrastructure as Code, CI/CD, scripting, and deployment tooling. Improve reliability, performance, observability, security, and operational efficiency through monitoring, vulnerability remediation, lifecycle management, and resilience practices. Collaborate with developers, architects, cybersecurity teams, infrastructure staff, and business stakeholders to enhance platform capabilities and deployment processes.

Leads technical sales engagements for Wiz’s cloud and AI security platform. Partners with sales, product, engineering, customer success, and executive stakeholders on strategic opportunities, demonstrations, proof-of-concepts, deployments, troubleshooting, security architecture, and platform messaging. Provides field-driven product feedback and thought leadership while guiding prospects and customers through complex cloud, DevOps, Kubernetes, networking, and security use cases.

Own and continuously improve application security across the SDLC, including secure code reviews, threat modeling, risk assessment, AppSec tooling, vulnerability reporting, secure design standards, and Security Champion programs. Partner with development teams across varying maturity levels to embed effective security practices in Azure and CI/CD environments while maintaining delivery velocity. Mentor developers and strengthen secure coding capabilities.

Design and implement enterprise data governance frameworks, policies, and operating models. Establish stewardship, metadata management, lineage, and data quality practices. Facilitate stakeholder workshops, embed governance into delivery, support governance tooling adoption (data catalogs, metadata platforms), and provide advisory and mentoring to uplift organisational governance capability.

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.

Serves as the highest technical escalation point for enterprise customers, diagnosing complex issues across integrations, workflows, APIs, identity systems, and customer environments. Reproduces and triages bugs, partners with Engineering and Product, improves escalation processes, strengthens documentation, and supports customer-facing teams. Uses logs, observability tools, payloads, and debugging utilities to resolve issues and identify systemic improvements.

Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.

The Cloud Engineer II will join the SRE team to improve service mesh and Kubernetes architecture across AWS and Azure environments. Responsibilities include designing and maintaining reliability tools, monitoring systems, analyzing metrics, troubleshooting performance issues, improving availability, reducing operational toil, and optimizing cloud costs. The role requires hands-on experience with Kubernetes, Terraform, Helm, cloud deployments, container diagnostics, Python or Shell scripting, and mature development and deployment practices.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Leads a remote team of 10+ engineers building and operating AI-powered analytics products. Responsibilities include team development, hiring, performance management, technical strategy, architecture review, delivery execution, reliability, scalability, security, observability, cost optimization, and technical debt reduction. Partners with Product, Design, Architecture, Platform, SRE, InfoSec, and executive stakeholders while promoting AI-assisted engineering practices.

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.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

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.

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.

Build and refine AI-powered prototypes for supply chain and manufacturing operations. Engage with factory and warehouse teams, translate operational needs into software requirements, develop Python-based RAG and agentic systems, integrate APIs and data sources, and iterate prototypes based on frontline feedback. The role involves SQL and document data preparation, agile collaboration, occasional manufacturing-site travel, and progressive adoption of enterprise AI frameworks and production engineering practices.

Serve as the cybersecurity sales engineering subject matter expert for Australia and New Zealand. Lead product demonstrations, trials, technical discovery, webinars, and partner presentations. Advise MSP customers on cybersecurity technologies, regulatory frameworks, privacy laws, and compliance goals. Collaborate with Sales, Marketing, Product, Engineering, and Support, provide customer insights for roadmap development, and independently manage multiple engagements. The role requires regional travel of approximately 30–40%, including interstate and trans-Tasman travel.

Leads digital transformation, data services, and product implementation projects for public and private-sector clients. Advises clients on technology strategies, cloud platforms, solution design, and digital delivery. Manages Agile projects and multidisciplinary teams, supports business development and proposals, develops digital service offerings, engages technical and non-technical stakeholders, and mentors junior colleagues. The role also contributes to digital best practices and innovation across Arcadis’s global communities.

The Infrastructure Support Senior Analyst provides L2/L3 support for client environments, leads a team, manages incidents, and ensures infrastructure performance and availability.

Deliver analytics for buy- and sell-side transactions, due diligence, carve-outs and post-deal value creation. Analyse large datasets to identify risks, value drivers and opportunities, using Alteryx, SQL, Python and BI tools. Translate findings into commercial recommendations, support corporate finance teams, mentor juniors, and assist with proposals and client presentations.

Lead administration, optimization, automation, security, and lifecycle management for enterprise Unix/Linux platforms. Support patching, upgrades, vulnerability remediation, performance tuning, storage, monitoring, high availability, backup, recovery, and disaster recovery across on-premises, cloud, and hybrid environments. Collaborate with application, database, network, security, and architecture teams on troubleshooting, migrations, modernization, and cloud adoption. Mentor engineers and contribute to infrastructure standards, resilience, roadmaps, and operational best practices.

Designs, builds, and optimizes ETL/ELT pipelines connecting enterprise applications, databases, cloud platforms, warehouses, and analytics environments. Develops reusable integration frameworks, transformation and validation logic, monitoring, and data-quality processes. Supports migrations, implementations, upgrades, automation, testing, and CI/CD. Collaborates with architects, engineers, analysts, and business stakeholders to deliver secure, scalable, reliable data solutions.

Manage and optimise secure cloud platforms (Azure/AWS), resolve incidents, automate operations with scripting and IaC, strengthen security via patching and compliance, and partner with engineering, cyber security and customers to deliver resilient cloud services.