Lead Software 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 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