GCP & AWS Infra DevOps Engineer | IaC & CI/CD

Machine Learning Technologies, LLC; Minneapolis (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a seasoned DevOps/SRE professional to automate provisioning and operations for customer environments on GCP and AWS. You will build repeatable, secure, and observable infrastructure for RAG/knowledge pipelines and manage environment lifecycles from creation to teardown.

The role emphasizes Terraform-based infrastructure, CI/CD integration, and security best practices across cloud accounts. Collaboration with architects and data engineers is essential.

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.
• 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.

Skills

DevOps

SRE

Platform engineering

Security operations

IaC (infrastructure as code)

CI/CD

Tools

Terraform

Google Cloud

AWS

Job description

Machine Learning Technologies, LLC is seeking a seasoned DevOps/SRE professional to automate provisioning and operations for customer environments on GCP and AWS. You will build repeatable, secure, and observable infrastructure for RAG/knowledge pipelines and manage environment lifecycles from creation to teardown.

The role emphasizes Terraform-based infrastructure, CI/CD integration, and security best practices across cloud accounts. Collaboration with architects and data engineers is essential.