GCP DevOps Engineer - Infra, CI/CD & RAG Pipelines

Machine Learning Technologies, LLC; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Machine Learning Technologies, LLC in Austin, TX is seeking a DevOps/Platform Engineer to automate provisioning, deployment, and operation of customer environments on GCP and AWS. You will ensure repeatable, secure, and observable environment creation.

You will build CI/CD pipelines for pre-built artifacts and customer configurations, manage lifecycle, monitor, and control costs while collaborating with architects and data engineers on RAG workflows.

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.

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.

Job description

Machine Learning Technologies, LLC in Austin, TX is seeking a DevOps/Platform Engineer to automate provisioning, deployment, and operation of customer environments on GCP and AWS. You will ensure repeatable, secure, and observable environment creation.

You will build CI/CD pipelines for pre-built artifacts and customer configurations, manage lifecycle, monitor, and control costs while collaborating with architects and data engineers on RAG workflows.