GCP Infra Devops

Machine Learning Technologies, LLC; Minneapolis (MN); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

DevOps

SRE

Platform engineering

Security operations

IaC (infrastructure as code)

CI/CD

Outils

Terraform

Google Cloud

AWS

Description du poste

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• 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 applicationsor the retrieval logic.

What success looks like

• A new customer environment can be stood up from approved modules with minimal manual consolework.
• CI/CD pipelines promote the pre-built CCAI, voice, and chat packages plus customer config in acontrolled 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-liveand 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.
• Experience deploying contact-center or conversational platforms.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.