Cloud DevOps Engineer

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

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