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Contractor
Removed from the employer's board on Nov 11, 2026. First seen by Alion on Nov 5, 2026.
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DisablePreloader About Home About Us Who We Are? Logging-In an IT Consulting and Project Management Services Company!
Job Title : Google Cloud Platform Infra Devops consultant
Location: Minneapolis, MN (Onsite)
Primary Skill : Google Cloud Platform, Gen AI, AWS
Required Skills: Google Cloud Platform Infra Devops consultant R&D strong experience with Terraform, Python AI, RAG and GitHub
Experience : 15+ years
Job Description :
Job Requirements
- Automate provisioning, deployment, and operational readiness of customer environments on Google Cloud Platform 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 Google Cloud Platform 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
- 15+ 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, Google Cloud Platform, CI/CD, Cloud Build, CodePipeline, IAM, secrets, landing zone, platform engineering, vector database, Vertex AI, Bedrock
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