Role summary
Automate provisioning, deployment, and operational readiness of customer environments on Google Cloud Platform 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 Google Cloud Platform 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.
Work Experience: 7-10 Years
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
IT
Seniority Level:
Senior