We are looking for an Infrastructure Engineer - Kubernetes, AI and GPU to design, deploy, and optimize Kubernetes clusters, automate provisioning and CI/CD pipelines, and maintain both Linux and Windows environments.
Requirements
- 3+ years of experience in infrastructure engineering or DevOps roles
- Strong Linux and Windows administration across multiple distributions
- Hands-on experience with Kubernetes: cluster setup, configuration, management, and optimization
- Proficiency in infrastructure-as-code tools such as Terraform, Ansible, and Packer
- Experience with physical infrastructure setup including servers, storage arrays, and networking equipment
- Familiarity with software-defined networking and Kubernetes networking stacks
- Proficiency in scripting languages (Python, Bash)
- Understanding of CI/CD principles and pipeline design
- Comfortable working in fast-paced, collaborative, and creative environments
Benefits
- Competitive annual salary range: $130,000–$145,000 DOE
- Remote work flexibility
- Opportunity to work on cutting-edge GPU and AI/ML infrastructure projects
- Exposure to cloud-native architecture and high-performance computing environments
- Collaborative and creative team environment
- Professional development opportunities and skill growth in infrastructure engineering and AI/ML workflows