Top Cloud Engineer Jobs in Melbourne

Operate and support production Microsoft Azure environments for managed-services customers. Responsibilities include monitoring platform health, resolving incidents, performing root-cause analysis, implementing automation and Infrastructure-as-Code, managing identity and access through Entra ID, applying security and governance controls, and supporting maintenance, backup, cost optimization, and continuous service improvement. The role also requires customer communication, technical documentation, risk reporting, and collaboration with delivery teams under service-level agreements.

Own AWS infrastructure, DevSecOps, CI/CD, observability, security, and platform reliability while contributing to backend product development. Build and operate services using Lambda, DynamoDB, ECS Fargate, EventBridge, and Aurora PostgreSQL. Establish infrastructure standards, manage incidents, improve reliability and performance, and provide technical direction autonomously within a fully remote Australian engineering team.

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.

Senior Azure Customer Experience Engineer responsible for resolving critical cloud issues, performing root-cause analysis, managing escalations, advising customers on Azure deployments and configurations, and conveying customer feedback to product and engineering teams to improve service reliability.

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 Salesforce Marketing Cloud solutions: build email templates and web pages, implement AMPscript/SSJS, manage Automation Studio and Journey Builder, create integrations with REST/SOAP APIs, design data models and SQL queries, document setups, and collaborate with architects, marketers and developers to deliver production-ready campaigns.

Develop and deploy scalable marketing solutions in Salesforce Marketing Cloud. Design email templates and web pages using HTML/CSS/JavaScript and programmatic scripts (AMPscript, SSJS). Build automations, journeys, SQL data models, and integrations via REST/SOAP APIs. Collaborate with architects, marketers and developers, document solutions, and drive technical decisions.

Lead technical sales engagements for enterprise financial services customers, designing secure, scalable Agentic AI and cloud-native application architectures on Azure. Conduct workshops, live demonstrations, whiteboarding, rapid prototypes, proofs of concept, and pilots. Advise technical and business stakeholders, resolve technical blockers, influence architecture decisions, and drive production-scale deployments using Microsoft AI services, agent development platforms, application modernization technologies, and cloud-native development practices.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.

Provide Level 1 and Level 2 technical support for Genesys Cloud, Amazon Connect, and other CCaaS platforms. Responsibilities include incident triage, IVR and call-routing configuration, system monitoring, issue escalation, documentation, user training, and continuous improvement. The role collaborates with engineering, development, operations, vendors, and customers to maintain reliable 24x7 contact center operations.

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.

Design, build, and maintain secure AWS cloud platforms and infrastructure. Develop CI/CD pipelines, automate provisioning and configuration, deploy containerized applications with Kubernetes, Docker, and OpenShift, and implement monitoring and logging with ELK. Troubleshoot production incidents, improve reliability and security, document procedures, and provide managed-services support through shifts, on-call coverage, and after-hours deployments.

Lead modern Data & Analytics engagements from discovery through delivery while designing scalable cloud data solutions. Manage delivery teams, mentor consultants, advise senior client stakeholders, shape technical proposals, and contribute to consulting methodologies. The role requires hands-on expertise across data engineering, architecture, warehousing, integration, cloud platforms, dbt, ETL/ELT, BI, and technical project leadership.

Own and evolve multi-account AWS infrastructure using Terraform, build CI/CD platforms with GitHub Actions, and develop secure engineering standards. Responsibilities include cloud security, compliance automation for SOC 2 and ISO 27001, observability, reliability engineering, incident response, infrastructure reviews, mentoring, and cross-functional collaboration. The role requires on-call participation and occasional out-of-hours maintenance.

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.

Develop and maintain scalable Python applications, APIs, microservices, and data pipelines using PySpark and Airflow. Deploy and operate solutions on Azure with Docker and Kubernetes, implementing monitoring, logging, alerting, and production support. Collaborate with product managers, data scientists, and engineering teams on global projects while contributing to coding standards, architecture, testing, documentation, and Agile delivery.

Owns end-to-end QA coverage across firmware, cloud services, and mobile applications for IoT products. Tests device-to-cloud communication, APIs, business logic, connectivity failures, offline operation, OTA updates, and rollback scenarios. Analyzes device and cloud logs, develops test data strategies, prioritizes automation scenarios, and maintains smoke and regression testing processes. Requires systems thinking, embedded and mobile testing experience, API testing, Agile QA processes, and familiarity with relevant test management tools.

Designs, implements, and maintains cloud infrastructure and CI/CD pipelines across Azure and AWS environments. Automates infrastructure with Terraform and operational workflows with PowerShell, deploys applications using Azure services, and configures secure API, networking, monitoring, and alerting solutions. Partners with development, operations, vendors, and service providers to ensure platform reliability, scalability, and security. Troubleshoots multi-environment issues, documents systems, and supports continuous improvement.

Designs, implements, and maintains Azure cloud infrastructure, CI/CD pipelines, and application deployments using Azure DevOps, Terraform, and Azure services. Manages secure platform components including API Management, Key Vault, and Application Gateway. Implements monitoring with Azure Monitor and New Relic, automates operational tasks with PowerShell, troubleshoots platform issues, collaborates with development teams and vendors, and supports reliability, scalability, security, documentation, and continuous improvement.

Design, build and maintain cloud-native SAP BTP applications and enterprise integrations using CAP (Node.js/Java) and SAP Integration Suite (CPI). Develop APIs (OData/REST), event-driven processes, iFlows, security/authentication, CI/CD pipelines, and integrations with S/4HANA, ECC, Salesforce and other systems. Provide technical leadership, governance, code reviews, monitoring, performance optimisation and platform cost control.

Build and operate cloud security governance, guardrails, access controls, automated remediation, and compliance enforcement across multi-account AWS environments. The role involves AWS Organizations, IAM, Terraform, scripting, security services, Policy as Code, and CI/CD integration. This is a six-month contract with possible extension, based in Melbourne or Sydney.

Serve as a trusted technical advisor for AI and cloud infrastructure solutions. Partner with customers, sales teams, and technology partners to understand business needs, design architectures, lead workshops and technical evaluations, and deliver demonstrations. Translate AI strategies into scalable, secure deployments using modern infrastructure, cloud, networking, storage, GPU, container, and model-serving technologies. Present solutions to technical and executive audiences while supporting customer adoption and measurable outcomes.

Design, implement, and operate large-scale distributed storage infrastructure for GPU cloud and AI/ML workloads. Responsibilities include improving availability, scalability, latency, performance, monitoring, automation, capacity management, data placement, security, and disaster recovery. The role involves incident response, root-cause analysis, continuous optimization, infrastructure-as-code, and on-call support for Linux-based storage systems.

Design, implement, automate, and support enterprise-scale Azure cloud infrastructure and CI/CD pipelines. Modernize platforms, deploy and operate Kubernetes environments, build monitoring and alerting, troubleshoot networking and performance issues, and ensure cloud security. Lead and coach junior DevOps engineers, collaborate with Engineering, Security, QA, and Operations, and participate in agile ceremonies to deliver scalable, reliable deployments.

Migrate SQL Server data products and analytical workloads to a modern cloud platform. Redesign legacy SQL, ETL processes, and business logic; build scalable pipelines and analytical models; validate data quality; collaborate with stakeholders; and improve platform reliability, performance, cost efficiency, and AI-assisted data engineering automation.