Top Cloud Engineer Jobs in Sydney

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.

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.

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.

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.

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.

Build and maintain reliable cloud-based data pipelines, reusable data assets, curated datasets, and scalable data solutions. Modernize legacy processes, improve workflow performance, and implement data quality, lineage, governance, privacy, security, and resilience controls. Collaborate with cross-functional teams to support reporting, analytics, operational use cases, AI-enabled outcomes, and better customer experiences.

Provide Level 1 and 2 technical support to Microsoft CSP and AWS partners, including onboarding, provisioning, billing, troubleshooting, ticket escalation, and AI service adoption. Contribute to cloud migrations, implementations, documentation, training, knowledge management, and continuous improvement. Collaborate with solution architects and global support teams, maintain service desk records, ensure program compliance, and participate in an on-call roster.

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, builds, operates, and supports secure GCP platforms for enterprise clients. Responsibilities include hybrid networking, Terraform automation, CI/CD, observability, security controls, infrastructure troubleshooting, technical documentation, architecture reviews, and client workshops. The role partners across cloud, network, security, infrastructure, and data teams to deliver platforms from initial design through production support.

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 and supports cloud DevOps infrastructure using Azure, Kubernetes, OpenShift, Terraform, and CI/CD tooling. Responsibilities include infrastructure as code, secrets management, pipeline automation, container and Linux administration, network configuration, Azure service integration, application registration, service principals, and RBAC implementation. The role also involves scripting with PowerShell, Bash, or Python, configuring Podman and Control-M, and communicating with project, operations, engineering, and business teams.

Provide cloud security support across AWS platforms, remediate vulnerabilities and misconfigurations, automate security controls, and strengthen secure CI/CD pipelines. Coordinate remediation with platform and workload teams, define preventative guardrails and secure patterns, support cloud security operations and incident response, and manage risk exemptions, approvals, compensating controls, and audit evidence.

Lead cloud infrastructure operations, automation, monitoring, troubleshooting, migrations, and platform engineering. Manage AWS services, infrastructure as code, CI/CD pipelines, Kubernetes and Docker environments, observability tooling, networking, security, and operational best practices. This is a six-month contract with possible extension based in Sydney or Melbourne.

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.

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.

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.

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.

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.

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.

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