Cloud DevOps Engineer-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.