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Cloud DevOps Engineer-W2

Prudent Technologies and ConsultingUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
DockerGitAWSAPI GatewayDNSGitLab CIGroovyTerraformWAFAzureNode.jsJavaScriptSharePointCI/CD

Job description

Job Title- Cloud DevOps Engineer
Job Location- Minneapolis, MN (Remote)
Job Type : Contract-W2

Job Description:

Technology Stack

Category Technologies / Tools

Programming Languages Node.js, JavaScript, Groovy

AWS Services Application Load Balancer, Amazon ECS, API Gateway, AWS Lambda, AWS WAF, CloudFront, Amazon S3, AWS Secrets Manager

Networking DNS, CNAME records, SSL/TLS certificates, DigiCert certificate management

CI/CD and Infrastructure as Code GitLab CI, Docker, Terraform

Azure AI / Knowledge Platforms SharePoint-to-vector-store synchronization, AI assistant knowledge grounding, document-based search workflows

Preferred Certification

• AWS Certified Developer – Associate

• Terraform Associate certification is a plus

• Azure AI or Azure Fundamentals certification is a plus

Key Responsibilities

  • Customer Onboarding
  • Manage DNS and CNAME requests for new customer implementations.
  • Coordinate and configure externally facing SSL/TLS certificates using DigiCert.
  • Configure webchat environments using Terraform-based automation.
  • Ensure onboarding activities are completed consistently, securely, and with minimal manual intervention.
  • AWS Development and Platform Support
  • Create and maintain API Gateway integrations, including integrations for Robin on Teams.
  • Manage secrets securely using AWS Secrets Manager.
  • Configure and maintain AWS Web Application Firewall policies.
  • Perform Application Load Balancer updates and routing changes.
  • Support CloudFront and Amazon S3 configurations for web and static content delivery.
  • Assist with AWS Lambda and ECS-based application deployments.
  • CI/CD and Infrastructure Automation
  • Build and maintain GitLab CI pipelines for application deployment.
  • Use Docker for containerized application packaging and runtime consistency.
  • Develop and maintain Terraform scripts for repeatable infrastructure provisioning.
  • Promote automation-first practices to reduce operational effort and deployment risk.
  • Azure AI and Knowledge Integration
  • Support SharePoint-to-vector-store synchronization workflows.
  • Assist in maintaining document-grounded AI assistant capabilities.
  • Collaborate on improvements to AI-based search, retrieval, and knowledge grounding processes.

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