Infrastructure / DevOps Engineer with GenAI - Remote

Hi,

Hope you are doing well.

Let me know if you are interested on below job opportunity. Please share your updated resume and let me know visa, current location and hourly rate.

Job Title : Infrastructure / DevOps Engineer

Location : Remote (USA)

Skill Cluster : AILab-GENAI-GCP.

Primary Skill : Gen AI

Experience 7-10Years

Job Description :

Job Requirements 1.Infrastructure / DevOps EngineerEmployment type Full-timeLevel SeniorReports to Engagement / Delivery LeadLocation Remote or hybridRole summaryAutomate 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. Control cost via budgets, labels/tags, and idle-environment policy.Required qualifications 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

Thanks & Regards

Alamgir Ansari | Technical Recruiter

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