5 of 5 Google Compute Engine Jobs

technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes to support AI workloads. CI/CD & Automation Develop and maintain CI/CD pipelines using Google Cloud Build , Jenkins , and GitHub Actions . Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors. Drive adoption of DevOps ...

make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux, Terraform, Kubernetes, Docker, Packer ...

Description We are seeking a highly skilled Cloud Architect with deep expertise in both Microsoft Azure and Google Cloud Platform (Google Cloud Platform) to lead enterprise-scale cloud transformation initiatives. The ideal candidate will have proven experience in designing, implementing, and optimizing secure, scalable, and cost-effective multi … cloud architectures while collaborating with cross-functional stakeholders. Key Responsibilities Lead the design and architecture of hybrid/multi-cloud solutions across Azure and Google Cloud Platform. Drive cloud migration strategies from on-premises to Azure and Google Cloud Platform, including application modernization and re-platforming. Define reference ...

thrives at the intersection of data, cloud, and DevOps. You'll join a team of specialists designing, implementing, and optimizing advanced data platforms on Google Cloud. Your expertise will be key in shaping robust, scalable, and secure data ecosystems that empower smarter decision-making. Why Join Us? Work … Doing As a Lead Data Engineer at Xccelerated, you'll play a pivotal role in building and maintaining modern data platforms in Google Cloud. Design and implement cloud solutions, data pipelines, and integration patterns within the GCP ecosystem Manage and optimize cloud data platforms (lakehouse, data hubs, AI & governance ...

thrives at the intersection of data, cloud, and DevOps. You'll join a team of specialists designing, implementing, and optimizing advanced data platforms on Google Cloud. Your expertise will be key in shaping robust, scalable, and secure data ecosystems that empower smarter decision-making. &# on impactful data platform … after 13 months &# a Lead Data Engineer at Xccelerated, you'll play a pivotal role in building and maintaining modern data platforms in Google Cloud. &# and implement cloud solutions, data pipelines, and integration patterns within the GCP ecosystem &# and optimize cloud data platforms (lakehouse, data hubs ...