> Markdown version of [/jobs/ext/4638077-gcp-infra-devops-consultant](https://www.wearedevelopers.com/jobs/ext/4638077-gcp-infra-devops-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GCP Infra DevOps Consultant - **Company:** Robotics Technologies LLC - **Location:** Raleigh, NC, United States - **Experience:** Expert - **Salary:** $160,160 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Computing Security, Continuous Integration, DevOps, Identity and Access Management, Instant Messaging Technology, Key Management, Software Deployment, Software Engineering, AWS Cdk, Data Logging, Google Cloud, Chatbots, Retrieval-Augmented Generation, Delivery Pipeline, Build Server, Infrastructure Automation Frameworks, Deployment Automation, Search Engines, Terraform - **Published:** November 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f87a467eeab4ca55 ## About the Role * 5+ years of experience in DevOps, SRE, or Platform Engineering * Strong hands-on experience with Terraform and Infrastructure as Code. * Practical experience with both Google Cloud Platform (GCP) and AWS. * Experience building and managing CI/CD pipelines. * Knowledge of GCP Cloud Build and AWS Code Pipeline. * Strong understanding of IAM, cloud networking, secrets management, and security. * Experience with cloud logging, monitoring, and alerting. * Exposure to AWS CDK and cloud infrastructure automation. Good to Have: * Experience with Vertex AI, AWS Bedrock, RAG, and vector databases. * Knowledge of Conversational AI, Contact Center AI (CCAI), voice, and chat platforms. * Google Cloud DevOps Engineer or AWS DevOps/SysOps certification. * Experience supporting GenAI infrastructure and knowledge pipelines. ## Description We are looking for an experienced GCP Infra DevOps Consultant with strong hands-on experience in GCP, AWS, Terraform, and CI/CD automation. The candidate will be responsible for automating cloud infrastructure provisioning, deployment, configuration, and operational readiness across GCP and AWS environments. The role involves managing infrastructure for pre-built Conversational AI (CCAI), voice, chat, and RAG/knowledge pipelines. The focus is on cloud infrastructure, automation, deployment, security, and monitoring rather than application development., * Design, implement, and maintain Infrastructure as Code (IaC) using Terraform. * Automate provisioning and configuration of GCP and AWS cloud environments. * Manage cloud networking, IAM, service enablement, secrets, and security configurations. * Build and maintain CI/CD pipelines for application deployment and environment promotion. * Automate deployment of pre-built application packages and customer-specific configurations. * Provision infrastructure for RAG pipelines, vector databases, document stores, and search indexes * Implement logging, monitoring, alerting, and operational dashboards. * Manage environment lifecycle, including creation, updates, backups, and teardown * Implement cloud security, access controls, and cost optimization. * Work closely with Architects and Data Engineers to convert infrastructure designs into reusable modules.