Open role
Contract role: Cloud Platform Engineer – AWS & Terraform 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.