Cloud DevOps Engineer

Location: Minneapolis, MN*REMOTE*Duration: 1 YearJob 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 CertificationAWS 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.