Title: GCP Infra DevOps Consultant

Location: Raleigh, NC

Duration: 12 Months+ Extension

Bill Rate: $77/hour(C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

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.

Key Responsibilities:

• 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.

 Required Skill:

• 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.