Cloud DevOps Engineer

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
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.