Top Azure Jobs in Melbourne

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.

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.

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.

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.

Manages data analytics and emerging technology engagements supporting external audits. Uses Databricks, PySpark, SQL, Azure, and AI solutions to analyze large datasets, generate audit insights, improve quality, and drive innovation. Responsibilities include stakeholder and client management, project delivery, quality compliance, people management, mentoring, performance feedback, and knowledge sharing.

Provides senior operational support for AWS cloud platforms, handling escalations, major incidents, troubleshooting, root-cause analysis, and service restoration. Develops infrastructure as code with CloudFormation and Terraform, supports CI/CD, and improves automation, observability, reliability, governance, security, and resiliency. Partners with engineering, security, infrastructure, and resiliency teams; mentors junior engineers; maintains documentation; and participates in on-call and major incident rotations.

Serves as the primary technical and customer support contact for complex Azure issues and projects. Troubleshoots mission-critical applications, conducts health checks and root-cause analysis, manages escalations, advises on Azure configurations and deployments, and communicates technical issues to varied audiences. Synthesizes customer feedback, identifies product and knowledge gaps, advocates for platform improvements, and partners with engineering, product, field, and support teams to improve reliability and customer experience.

Develop and maintain scalable backend software through hands-on coding, testing, debugging, and troubleshooting. Lead technical discussions, independently deliver medium-sized projects, improve engineering processes, and contribute to company objectives. Collaborate with product managers and stakeholders, communicate technical concepts, share best practices, and mentor junior engineers. The role focuses on Node.js, microservices, cloud services, CI/CD, subscriptions technology, TypeScript, GraphQL, PostgreSQL, and Elasticsearch, with opportunities for full-stack development.

Own the Internal Developer Platform (IDP) product strategy and roadmap, engage engineering leaders to drive adoption, translate developer needs into product requirements, and champion end-to-end developer experience across cloud, CI/CD, observability, security, and Kubernetes domains.

Design, develop, test, deploy, and support scalable APIs, automation services, and cloud-native software addressing security challenges. Build reliable solutions using modern engineering practices, CI/CD, automated testing, observability, and secure development. Collaborate with engineers, product owners, architects, and security specialists across the software lifecycle, contribute to architecture and code reviews, resolve technical issues, and improve engineering efficiency, reliability, and maintainability.

Provide enterprise-wide technical leadership for security engineering platforms, automation services, APIs, and cloud-native solutions. Define technical strategy, guide multiple engineering squads, improve CI/CD, observability, reliability, scalability, and engineering standards, and contribute hands-on to architecture and software development. Mentor engineers, influence senior stakeholders, reduce technical debt, and evaluate AI and emerging technologies for security and operational challenges.

Staff Software Engineer leading production AI/ML and GenAI engineering within a payments technology environment. Responsibilities include building cloud-native AI services, agents, RAG systems, APIs, microservices, and reusable platforms; establishing evaluation, guardrails, observability, security, and responsible AI practices; and taking solutions from experimentation through production operations. The role also influences architecture and engineering standards, mentors engineers, and drives DevSecOps and AI adoption across teams.

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.

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.

Lead and modernize Finance & Risk technology platforms, ensuring resilience, secure engineering practices, and compliance with regulatory standards. Drive strategic architecture and improvements in system reliability and data integrity.

Serve as a trusted technology advisor to the Australian Department of Defence, shaping technology strategy, enterprise architecture, and roadmaps. Drive secure cloud, AI, data, security and digital transformation; lead strategic pursuits, executive engagement, and cross-Microsoft orchestration to accelerate mission outcomes.

Lead and improve end-to-end automation platform service delivery, ensuring reliability, security, and alignment with SLAs/OLAs. Support automation tools (Blue Prism, Knime, Retool), Azure services, GitOps adoption, incident/crisis management, vendor and service level management, testing, documentation, and cross-functional platform projects using ITIL and SRE best practices.

Build, maintain, and support secure, scalable full-stack applications for business operations. Responsibilities include frontend and backend development, platform operations, debugging, production support, environment management, deployment planning, architecture contributions, API integration, automated testing, performance optimization, and secure coding. The role also involves troubleshooting across the stack, improving development practices, and mentoring team members.

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