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.
