Infrastructure / DevOps Engineer

Automate provisioning, deployment, and operational readiness of customer environments on GCP and AWS,including the infrastructure that runs RAG / knowledge pipelines. You make environment creation andapplication promotion repeatable, secure, and observable. You do not develop the conversational applicationsor the retrieval logic.What success looks like “ A new customer environment can be stood up from approved modules with minimal manual consolework. “ CI/CD pipelines promote the pre-built CCAI, voice, and chat packages plus customer config in acontrolled way. “ Logging, monitoring, secrets, and teardown/lifecycle processes exist for every environment, includingknowledge / RAG jobs and stores.Key responsibilities “ Implement and maintain Infrastructure-as-Code for GCP projects and AWSaccounts. “ Automate service enablement, networking, IAM bindings, secrets, and baseline logging on both clouds. “ Provision and operate infrastructure for RAG / knowledge pipelines: document stores, vector or searchindexes, embedding/index jobs, schedulers, and secrets. “ Build CI/CD pipelines that deploy pre-built application artifacts, customer-specific configuration, andknowledge-index refresh jobs.” Manage environment lifecycle: create, update, snapshot/backup where relevant, and tear down. “ Implement monitoring, alerting, and dashboards sufficient for go-liveand handoff, including pipeline job failures.Partner with the Architect to turn designs into reusable modules; partner with specialists and the DataEngineer to wire application and RAG deploy steps.

” 5 years in DevOps, SRE, or platform engineering with production IaC. “ Hands-on Terraform on both Google Cloud and AWS. “ CI/CD experience” Practical security operations: secrets managers, IAM, private networking, audit logging.Google Cloud DevOps Engineer and/or AWS DevOps / SysOps certification. “ Experience deploying contact-center or conversational platforms.DevOps, Terraform, AWS CDK, GCP, CI/CD, Cloud Build, CodePipeline, IAM, secrets, landing zone, platform engineering,vector database, Vertex AI, BedrockWork Experience 7-10Years