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# Infrastructure / DevOps Engineer

- **Company:** ApTask
- **Location:** Hartford, CT, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Encodings, Cyber Security, Databases, Continuous Integration, DevOps, Identity and Access Management, AWS Cdk, Data Logging, Google Cloud, Retrieval-Augmented Generation, Delivery Pipeline, Build Server, Deployment Automation, Terraform
- **Published:** November 4, 2026
- **Apply:** https://www.thejobnetwork.com/job/f6084233-909d-47ba-8e9e-cc2350bcb850/infrastructure-devops-engineer

## About the Role

" 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

## Description

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.