1.Infrastructure / DevOps Engineer
Employment type Full-time
Level Senior
Reports to Engagement / Delivery Lead
Location Remote or hybrid
Role summary
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 and
application promotion repeatable, secure, and observable. You do not develop the conversational applications
or the retrieval logic.
What success looks like
• A new customer environment can be stood up from approved modules with minimal manual console
work.
• CI/CD pipelines promote the pre-built CCAI, voice, and chat packages plus customer config in a
controlled way.
• Logging, monitoring, secrets, and teardown/lifecycle processes exist for every environment, including
knowledge / RAG jobs and stores.
Key responsibilities
• Implement and maintain Infrastructure-as-Code for GCP projects and AWS
accounts.
• 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 search
indexes, embedding/index jobs, schedulers, and secrets.
• Build CI/CD pipelines that deploy pre-built application artifacts, customer-specific configuration, and
knowledge-index refresh jobs.
• Manage environment lifecycle: create, update, snapshot/backup where relevant, and tear down.
• Implement monitoring, alerting, and dashboards sufficient for go-live
and handoff, including pipeline job failures.
Partner with the Architect to turn designs into reusable modules; partner with specialists and the Data
Engineer 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, Bedrock