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$ cat jobs/devops-engineer-google-cloud-ncsaustralia-b37de5d97e71.json

DevOps Engineer (Google Cloud)

Ncsaustralia·Worldwide·Sydney, AU·mid
kubernetesterraformhelmgcpdevopsci/cdmicroservices
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At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by partnering with our clients and communities to make tomorrow together. We are committed to creating an environment that prioritises innovation, collaboration, and purposeful work. Our diverse team is empowered to make a meaningful impact with curiosity, creativity and resilience to shape better outcomes. Join us and accept the challenge of creating a better tomorrow. We are seeking an ambitious, hands-on DevOps Engineer (Google / GCP) to join our cloud platform team. In this role, you will be instrumental in modernizing, automating, and maintaining highly available Google Cloud environments and hybrid continuous delivery pipelines. A primary focus for this position will be configuring, deploying, and integrating GitLab across both GCP and on-premises environments—ensuring seamless, secure code delivery and orchestration across hybrid infrastructure. Sitting at the intersection of development and operations, you will empower software squads to ship code faster, safer, and more reliably. What You’ll Be Doing Hybrid GitLab Integration: Configure, administer, and integrate GitLab across GCP and on-premises environments , creating seamless CI/CD pipelines, runner groups, and automated deployment patterns across hybrid infrastructure. GCP Infrastructure Automation: Design, build, and maintain scalable cloud infrastructure using Terraform and Google Cloud native tools. Pipeline Engineering: Build, optimize, and manage robust continuous integration and deployment pipelines for microservices, legacy systems, and cloud workloads. Container Orchestration: Manage and fine-tune Google Kubernetes Engine (GKE) clusters, helm charts, and container registries to ensure reliable execution of workloads. Observability & Reliability: Implement comprehensive monitoring, logging,

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