Contract role: Cloud DevOps Engineer at Minneapolis, MN (Remote) || Open for W2

Cloud DevOps Engineer

Minneapolis, MN (Remote)

Long Term Contract

Skills Req:

• 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.