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Cloud DevOps Engineer
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-10-31
Listing for:
TechDigital Group
Full Time
position Listed on 2026-10-31
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, AWS
Job Description & How to Apply Below
Programming Languages Node.js, JavaScript, Groovy
AWS Services Application Load Balancer, Amazon ECS, API Gateway, AWS Lambda, AWS WAF, Cloud Front, Amazon S3, AWS Secrets Manager
Networking DNS, CNAME records, SSL/TLS certificates, Digi Cert certificate management
CI/CD and Infrastructure as Code Git Lab 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
- Customer Onboarding
- Manage DNS and CNAME requests for new customer implementations.
- Coordinate and configure externally facing SSL/TLS certificates using Digi Cert.
- 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 Cloud Front 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 Git Lab 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.
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