Senior Google Cloud Platform Infrastructure / DevOps Engineer

Remote • Posted 1 hour ago • Updated 1 hour ago
Contract Independent
Contract W2
12 Months
No Travel Required
Remote
$60/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • GCP
  • Google Cloud Platform
  • AWS
  • DevOps
  • Terraform
  • Infrastructure as Code
  • CI/CD
  • Cloud Build
  • AWS CodePipeline
  • AWS CDK
  • IAM
  • Secrets Management
  • Private Networking
  • Audit Logging
  • Landing Zones
  • Platform Engineering
  • SRE
  • Cloud Monitoring
  • RAG Infrastructure
  • Vector Databases
  • Vertex AI
  • Amazon Bedrock
  • Contact Center AI
  • CCAI
  • Conversational Platforms
  • Cloud Cost Optimization

Summary

Job Title: Senior Google Cloud Platform Infrastructure / DevOps Engineer

Location: Remote — Hartford, CT, or Minneapolis, MN candidates preferred
Experience: 5+ years
Industry: Healthcare / Health Insurance

Job Description

We are seeking a Senior Google Cloud Platform Infrastructure / DevOps Engineer with strong Google Cloud expertise and hands-on experience automating production infrastructure across Google Cloud Platform and AWS.

This role will build reusable infrastructure, automate customer environment provisioning, and manage deployment pipelines for contact-center and conversational platforms. Responsibilities also include infrastructure supporting Retrieval-Augmented Generation (RAG) and knowledge pipelines. The role focuses on infrastructure and deployment operations; it does not involve developing conversational applications or retrieval logic.

Key Responsibilities

  • Build and maintain reusable Terraform modules for Google Cloud Platform projects and AWS accounts.

  • Automate service enablement, networking, IAM permissions, secrets management, and baseline logging.

  • Provision and operate infrastructure for RAG and knowledge pipelines, including document stores, vector databases or search indexes, embedding and indexing jobs, and schedulers.

  • Develop CI/CD pipelines to deploy pre-built Contact Center AI (CCAI), voice, and chat application packages, customer configurations, and knowledge-index refresh jobs.

  • Manage environment provisioning, updates, backups or snapshots where applicable, and teardown.

  • Implement monitoring, alerting, and dashboards for go-live readiness and operational handoff, including pipeline job failure monitoring.

  • Collaborate with architects, specialists, and data engineers to translate designs into reusable infrastructure modules and deployment workflows.

  • Control cloud costs through budgets, resource labels and tags, and idle-environment policies.

Required Qualifications

  • 5+ years of experience in DevOps, Site Reliability Engineering, or platform engineering.

  • Strong hands-on Google Cloud Platform infrastructure experience.

  • Production Infrastructure-as-Code experience using Terraform across both Google Cloud Platform and AWS.

  • Experience developing and maintaining CI/CD pipelines.

  • Practical knowledge of IAM, secrets managers, private networking, and audit logging.

  • Experience deploying contact-center or conversational platforms.

  • Google Cloud DevOps Engineer and/or AWS DevOps / SysOps certification.

Relevant Technologies

Terraform, AWS CDK, Google Cloud Build, AWS CodePipeline, Vertex AI, Amazon Bedrock, vector databases, cloud landing zones, and CCAI.

To Apply

Please submit your updated resume, current location, contact information, and availability to Highlight your hands-on Google Cloud Platform, AWS, Terraform, and contact-center or conversational platform deployment experience.

Skills

Google Cloud Platform, Google Cloud Platform, AWS, DevOps, Terraform, Infrastructure as Code, CI/CD, Cloud Build, AWS CodePipeline, AWS CDK, IAM, Secrets Management, Private Networking, Audit Logging, Landing Zones, Platform Engineering, SRE, Cloud Monitoring, RAG Infrastructure, Vector Databases, Vertex AI, Amazon Bedrock, Contact Center AI, CCAI, Conversational Platforms, Cloud Cost Optimization

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91175610
  • Position Id: 9129309
  • Posted 1 hour ago
Contact the job poster
DN

Dean Neil

Recruiter @ TECHAGI SOLUTIONS LLC

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