Top Cloud Engineer Jobs in Sydney

Lead DevOps implementation across AWS and Azure, designing infrastructure as code with Terraform, managing CI/CD pipelines, configuration management, Kubernetes deployments, containerization, and automation. Mentor developers, promote DevOps practices, document solutions, and collaborate across engineering teams. Australian citizenship and 3–5 years of continuous residency are required; active security clearance is preferred. HashiCorp Vault, OpenShift, and AI agent experience are advantageous.

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.

Operate and improve secure, reliable cloud and hybrid infrastructure supporting digital payments platforms. Responsibilities include provisioning, configuration, monitoring, troubleshooting, patching, backups, restorations, testing, decommissioning, automation, configuration management, storage administration, and controlled infrastructure change. The role collaborates with engineering and service teams to improve operational procedures, performance, security, resilience, and service reliability.

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.

Designs and implements Azure cloud solutions, CI/CD pipelines, and infrastructure-as-code deployments. Establishes cloud engineering standards for security, reliability, performance, quality, and cost optimization. Resolves complex production and software issues, partners with engineering teams, researches emerging cloud technologies, and mentors team members. Requires 5+ years of software development or cloud engineering experience and expertise with public cloud platforms and cloud-native systems.

Designs, automates, and maintains enterprise Azure and GCP infrastructure using Terraform, Ansible, PowerShell, and shell scripting. Develops cloud landing zones, networking, deployment pipelines, security controls, FinOps governance, monitoring, backup, and disaster recovery solutions. Partners with architecture, cybersecurity, and network teams, modernizes legacy systems, and resolves critical production incidents.

Leads technical pre-sales strategy for enterprise cloud endpoint transformation. Designs secure, scalable solutions using Windows 365, Azure Virtual Desktop, Intune, Entra ID, and related Microsoft technologies. Delivers demonstrations, whiteboarding sessions, proof-of-concept deployments, and consultative workshops; removes technical blockers, supports competitive deals, collaborates with partners, documents customer intent, and enables post-sales handoffs.

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, deploy and support secure, scalable Azure cloud platforms; automate provisioning and operations with Infrastructure as Code; support migrations, troubleshooting, governance and operational excellence; contribute to AI-ready platform adoption and automation using enterprise AI services and best practices.

Lead customer-facing technical pre-sales engagements focused on Azure cloud adoption, infrastructure modernisation, AI readiness, networking, security, and hybrid environments. Design secure, scalable, resilient architectures; deliver workshops, demonstrations, proofs of concept, and pilots; and guide enterprise customers through migration, cloud-native technologies, Kubernetes, automation, and platform engineering. Collaborate with Microsoft sales, engineering, partner, and services teams to create compliant solutions and measurable business outcomes.

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.

Lead technical strategy and execution for enterprise endpoint cloud transitions. Serve as a trusted technical advisor in presales engagements by designing Microsoft endpoint and virtualization solutions, delivering demonstrations, leading whiteboarding sessions, and orchestrating proof-of-concept deployments. Partner with specialists, field sellers, and external partners to understand customer needs, overcome technical blockers, guide technology decisions, and drive adoption of Windows 365 and Azure Virtual Desktop.

Design, implement, and support secure, scalable Azure infrastructure using Infrastructure as Code and DevOps practices. Build landing zones, networks, identity integrations, and CI/CD pipelines; automate deployments and testing; provide L2/L3 production support, incident response, and root cause analysis while ensuring governance and security compliance.

Operate and improve highly available AWS and Kubernetes infrastructure. Respond to complex cloud incidents, troubleshoot reliability and performance issues, build CI/CD pipelines, automate operational tasks, strengthen observability, and implement resilience through disaster recovery, configuration management, and controlled change. Collaborate with engineering, security, and service management teams to improve platform security, availability, scalability, and operational efficiency.

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.

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.

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.

Support, design and optimise on‑prem and cloud infrastructure (Azure/GCP), ensure availability, performance, security and DR, automate processes, provide Level 3 support, mentor juniors, and contribute to infrastructure projects and solution design.

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

The Customer Site Reliability Engineer (CSRE) ensures service reliability and performance, manages complex systems, leads customer escalations, and collaborates with teams to improve service stability and delivery through automation and incident response.

Designs, implements, and manages Microsoft 365 and Azure cloud architectures for enterprise customers. Responsibilities include deploying Azure and M365 solutions, automating cloud platforms, developing infrastructure, supporting identity, security, networking, and endpoint management, documenting technical designs, providing escalated support and training, and assisting with testing and cloud projects.

Design, build, automate, and operate secure, scalable cloud networking across AWS (with alignment to GCP and NSX). Develop reusable Terraform modules, drive best practices, collaborate with DevOps and security teams, provide technical leadership and mentorship, own operational support and incident escalation, and maintain architecture and process documentation.