Senior GCP/AWS Infra DevOps Engineer - IaC & CI/CD

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

Job summary

Quantum Technologies LLC is seeking a seasoned DevOps/SRE engineer to automate provisioning and deployment across GCP and AWS. You will implement infrastructure-as-code, secure configurations, and observable environments for RAG knowledge pipelines, with a focus on repeatability and reliability.

The role emphasizes building CI/CD pipelines, managing environment lifecycles, and ensuring cost efficiency while collaborating with architects and data engineers for scalable deployment.

Qualifications

• 5+ years in DevOps, SRE, or platform engineering with production IaC.
• Hands-on Terraform on Google Cloud and AWS.
• Experience with CI/CD pipelines and tooling.
• Practical security operations: secrets managers, IAM, private networking, audit logging.

Responsibilities

• Implement and maintain Infrastructure-as-Code for GCP projects and AWS accounts.
• Automate service enablement, networking, IAM bindings, secrets, and logging on both clouds.
• Provision and operate infrastructure for RAG / knowledge pipelines: document stores, vector/indexes, embeddings, schedulers, and secrets.
• Build CI/CD pipelines that deploy pre-built artifacts, customer-specific configuration, and knowledge-index refresh jobs.
• Manage environment lifecycle: create, update, snapshot/backup, tear down.
• Implement monitoring, alerting, and dashboards for go-live and handoff, including pipeline failures.
• Collaborate with Architects to turn designs into reusable modules; coordinate with Data Engineer for wiring deploy steps.
• Control costs via budgets, labels/tags, and idle-environment policy.

Skills

DevOps

SRE

CI/CD

Security operations

Monitoring & logging

IAM

Tools

Terraform

GCP

AWS

CI/CD Tools

Job description

Quantum Technologies LLC is seeking a seasoned DevOps/SRE engineer to automate provisioning and deployment across GCP and AWS. You will implement infrastructure-as-code, secure configurations, and observable environments for RAG knowledge pipelines, with a focus on repeatability and reliability.

The role emphasizes building CI/CD pipelines, managing environment lifecycles, and ensuring cost efficiency while collaborating with architects and data engineers for scalable deployment.