We are looking for a hands-on senior Azure Cloud & DevOps engineer to join the Platform Engineering team.
In this role, you will help secure, support and improve the Azure environment behind mission-critical financial-services applications used across Australia and New Zealand.
You will work across Azure infrastructure, DevOps automation, cloud security, networking and identity—partnering with application, security, network and platform teams to improve reliability and close security gaps.
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Design, implement, and maintain VMware Cloud Foundation (VCF) infrastructure to support GE’s organizational requirements.
Manage and troubleshoot VCF resource availability, including compute, memory, and storage (SAN and vSAN) up to 160 ESXi and more than 1200 VMs across multiple clusters located in both SG and MY, using tools such as NSX-T, vCenter, ESXi 8.x, and VMware vSphere Cluster availability.
Experience in integration with backup services using NetBackup (NBU) such as HotAdd for image backup/restore and Media to file level backup/restore to support business application VMs requirements, including full, incremental, and ad-hoc backups.
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• Assist in or lead the technical discovery, requirement-gathering sessions, and customer workshops by preparing checklists, capturing technical information, and documenting action items.
• Support Pre-Implementation Validation (PIV), solution preparation, deployment planning, test execution, and acceptance activities for OpenShift and Ansible Automation Platform projects.
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Implement and maintain DevOps practices, including Continuous Integration (CI), Continuous Delivery (CD), and Infrastructure as Code (IaC), to refine deployments.
Develop, and support cloud solutions, including deployment pipelines, automation, virtual machines, and PaaS services.
Assess security vulnerabilities, ensuring understanding of security standards.
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Cloud Execution & BigQuery Integration: You will implement and maintain modern greenfield projects deployed natively on AWS according to our designated cloud architecture. You will execute Infrastructure as Code (IaC) blueprints and configure secure data pipelines to integrate cloud workloads with enterprise analytics platforms like GCP BigQuery.
Pipeline Architecture & Migration: You will join the technical effort to migrate our CI/CD pipelines away from legacy Jenkins and self-hosted environments over to GitLab Cloud. You will build and maintain modular, reusable pipeline templates that support both modern containerized applications and legacy direct-to-VM deployments based on our "Write once, use everywhere" framework.
Automated Security Integration (DevSecOps): You will operationalize and configure tools like SonarQube, GitLab Pipeline Security Scanning (SAST), and Docker Scout within established workflows. Your focus will be maintaining automated quality gates that effectively secure builds without slowing down development velocity.
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Designing and implementing the first generation of network automation playbooks, scripts, and templates for standard changes, provisioning, and configuration compliance across IT and OT networks
Selecting and implementing initial toolchain components (e.g. Git repository, CI/CD tool, Ansible/Terraform, basic test frameworks) defining how they will be used by the operations team
Establishing and configuring core network monitoring and logging for the data centre (devices onboarded, alert rules, dashboards, basic SLOs) and integrating where possible with ITSM/CMDB/DCIM platforms
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