Top Cloud Engineer Jobs in Melbourne

Build and configure AWS Landing Zones, provision secure non-production and production environments, and automate infrastructure using CloudFormation. Manage AWS networking services, including VPCs, subnets, NAT, EC2, load balancers, Route 53, NACLs, endpoints, and security groups. Automate application deployment with Ansible, create IAM roles for CI/CD pipelines, and build GitHub Actions CI/CD pipelines. The six-month contract may be extended.

Designs and administers secure, governed Google Cloud environments, focusing on IAM, RBAC, BigQuery permissions, policy tags, masking, service accounts, and least-privilege access. The role develops Terraform-based infrastructure, troubleshoots configuration issues, supports dbt and data-platform deployments, migrates governed data-access patterns, documents solutions, and guides engineers and stakeholders through cloud configuration and access challenges.

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.

Design, build, and operate secure Google Cloud platforms for enterprise clients. Responsibilities include hybrid connectivity, networking, Terraform automation, CI/CD, observability, security controls, troubleshooting, technical documentation, architecture reviews, and production support. The role also involves consulting with clients, leading design workshops, explaining technical trade-offs, and collaborating across cloud, network, security, infrastructure, and data teams.

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.

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.

Leads the design, implementation, and automation of cloud and application security capabilities across enterprise platforms. Integrates GitLab, Wiz, Wiz Code, SAST, SCA, container security, and other DevSecOps controls into CI/CD pipelines. Partners with engineering and architecture teams to embed secure-by-design practices, translates security requirements into implementation patterns, provides technical leadership and mentoring, and communicates security risks and outcomes to technical and business stakeholders.

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.

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.

Develop, deploy, maintain, support, and improve Salesforce Financial Services Cloud platforms. Collaborate with product owners, delivery leads, analysts, and cross-functional teams to deliver reliable, scalable member solutions. Apply agile methodologies, create technical documentation, optimize platform performance, and implement enhancements using Apex, LWC, Visualforce, JavaScript, and flows. The role requires Salesforce development experience and mandatory Salesforce Administrator and Platform Developer I certifications.

Designs, deploys, operates, and supports virtualization, cloud, network, Linux, and Windows infrastructure across internal and customer environments. Manages Proxmox clusters, Ceph storage, Azure infrastructure, migrations, backups, monitoring, capacity planning, and incident remediation. Builds automation and standardized configurations while enforcing change control, rollback planning, security, reliability, and documentation. The role also supports infrastructure procurement, disaster recovery testing, and scalable, repeatable platform delivery.

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.

Design, deploy, and operate containerized and serverless platforms on GKE, manage the enterprise Harness CI/CD platform, build standardized GitOps/IaC pipelines, embed DevSecOps controls, monitor platform health, onboard application teams, enforce policy-as-code governance, and collaborate with security and stakeholders to ensure secure, scalable, and repeatable deployments.

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.

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.

Engineer and support Splunk Enterprise and Splunk Cloud: manage platform components, onboard and troubleshoot security log sources, develop and tune SPL searches/alerts/dashboards, support SOC detection and investigations, integrate cloud/EDR/identity data, troubleshoot performance, maintain documentation, and participate in on-call rotations.

As a Cloud Support Engineer, you will resolve complex customer issues related to Ubuntu, ensure high satisfaction levels, and contribute to knowledge sharing.