Fortinet CloudOps Engineer Modern Infrastructure & AI-Driven Development - Banqiao 

Taiwan, New Taipei 

878196540

We need this CloudOps Engineer to bring fresh perspectives and modern cloud-native approaches to our embedded firmware infrastructure. This role will focus on building scalable cloud infrastructure for our OpenWrt-based firmware development pipeline, leveraging cutting-edge tools and AI-assisted development practices.

As a CloudOps Engineer, you will:

• Design and implement cloud-native CI/CD pipelines for embedded firmware using AWS services (ECS, Lambda, CodeBuild, CodePipeline).
• Build Infrastructure as Code using Terraform and Ansible for scalable firmware build environments
• Deploy and manage Kubernetes clusters for containerized build and test environments
• Integrate modern AI development tools (Devin.ai, Windsurf, Cursor) into development workflows
• Create automated testing infrastructure for multi-platform firmware validation
• Implement monitoring and observability solutions for firmware build processes
• Collaborate with firmware teams to optimize cloud-based development workflows
• Research and evaluate emerging cloud technologies for embedded development use cases

An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities:

• Bachelor's degree in Computer Science, Software Engineering, or related field (recent graduates welcome)
• Strong foundation in cloud platforms, preferably AWS (certifications a plus)
• Experience with Infrastructure as Code tools (Terraform, CloudFormation, or Ansible)
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Proficiency in scripting languages (Python, Bash, Go)
• Understanding of CI/CD principles and modern DevOps practices
• Familiarity with Git workflows and version control best practices
• Enthusiasm for AI-assisted development tools and emerging technologies
• Experience with AI coding assistants (GitHub Copilot, Cursor, Windsurf, or similar)
• Knowledge of embedded systems build processes (even if academic)
• Understanding of Linux systems and build environments
• Familiarity with monitoring tools (Prometheus, Grafana, CloudWatch)
• Experience with serverless architectures and event-driven systems
• Knowledge of security best practices in cloud environments
• Interest in open source software development and licensing