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.