6 of 6 Permanent Google Compute Engine Jobs

Google Cloud Platform infrastructure: • Compute Engine • Red Hat Enterprise Linux (RHEL) virtual machines • Windows virtual machines • Local SSD • Persistent Disk • Cloud Networking • Cloud Logging • Cloud Monitoring • Cloud Storage • Cloud Key Management • Cloud Secret Manager • Dynatrace • GitHub Enterprise • HashiCorp products, including Terraform and Packer • Jenkins • Backstage • Jira Cloud … Jira Align Skillset Required : Google Cloud Platform Infrastructure Engineering: Proven experience designing, building, and operating secure, automated cloud platform capabilities, with a focus on Google compute products and services. • Infrastructure as Code: Proficiency with Terraform (minimum), Jenkins, and modern CI/CD systems (GitHub Actions, Harness, Jenkins ...

What you bring 5 + years of hands-on experience in cloud, platform engineering, infrastructure, or DevOps 3 - 4+ years of deep, practical Google Cloud Platform experience Strong knowledge of core GCP services, including Compute Engine, Cloud Storage, VPC, Cloud IAM, and Cloud SQL or Spanner Experience … Nice to have Experience mapping Azure services to GCP equivalents GKE/Kubernetes experience Azure DevOps or GitHub Actions Python, Bash, or gcloud scripting Google Cloud certifications Portuguese or Spanish language skills Engagement Contract or permanent considered UK-based preferred, with flexible remote options across the UK and selected ...

What will you bring to the table? Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g. … date with new technology in the AI space. Nice to have: Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi-step generative AI applications, like LangGraph. Experience with Agent-to-Agent (A2A) communication or coordination ...

What will you bring to the table? Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g. … date with new technology in the AI space. Nice to have: Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi-step generative AI applications, like LangGraph. Experience with Agent-to-Agent (A2A) communication or coordination ...

streams focused on AI infrastructure and tooling. Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. A genuine interest in and at least … Stays up to date with new technology in the AI space. Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi-step generative AI applications, like LangGraph. Experience with Agent-to-Agent (A2A) communication or coordination ...

streams focused on AI infrastructure and tooling. Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. A genuine interest in and at least … Stays up to date with new technology in the AI space. Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi-step generative AI applications, like LangGraph. Experience with Agent-to-Agent (A2A) communication or coordination ...