Cloud DevOps Engineer

Inherent Technologies, Inc.

Minneapolis (MN)

Remote

USD 120.000 - 150.000

Vollzeit

Vor 2 Tagen
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Zusammenfassung

Inherent Technologies, Inc. in Minneapolis, MN is seeking a Cloud DevOps Engineer for a 1-year remote position. The role focuses on onboarding customers, securing TLS certificates, and automating via Terraform and GitLab CI.

You will configure API Gateways, manage secrets, and ensure reliable deployment pipelines across AWS and Azure platforms. The ideal candidate has AWS and Terraform experience, with preferred AWS Developer Associate and Terraform Associate certifications.

Qualifikationen

  • AWS Certified Developer Associate preferred.
  • Terraform Associate certification is a plus.
  • Azure AI or Azure Fundamentals certification is a plus.

Aufgaben

  • 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 securely with minimal manual intervention.
  • Create and maintain API Gateway integrations, including Robin on Teams.
  • Manage secrets securely using AWS Secrets Manager.
  • Configure and maintain AWS WAF policies and Application Load Balancer updates.
  • Support CloudFront and S3 configurations for web content delivery.
  • Assist with AWS Lambda and ECS-based deployments.
  • Build and maintain GitLab CI pipelines for deployment.
  • Use Docker for containerized packaging and runtime consistency.
  • Develop Terraform scripts for infrastructure provisioning.

Kenntnisse

CI/CD
Infrastructure as Code
Docker
AWS

Ausbildung

AWS Certified Developer Associate
Terraform Associate certification
Azure AI Fundamentals

Tools

GitLab CI
Terraform
Docker
API Gateway
ECS
S3
WAF
CloudFront
Secrets Manager
DigiCert

Jobbeschreibung

Position: Cloud DevOps Engineer
Location: Minneapolis, MN***REMOTE***
Duration: 1 Year
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.
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