GCP Infra DevOps Consultant
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Role details
Tech stack
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Job 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.
Requirements
- 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.
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