ScitiX · 4 hours ago
DevOps Engineer
Chicago, IL
Full-time
Onsite
Mid Level
3+ years expScitiX is a next-generation provider of intelligent computing infrastructure, dedicated to empowering artificial intelligence innovation through high-performance, scalable solutions. The role of DevOps Engineer involves managing Kubernetes deployment and maintenance, as well as troubleshooting training clusters. Responsibilities include designing monitoring functions, analyzing cluster issues, managing quotas, and participating in operational duties.
Information Technology
Hiring Manager
May Wu
Responsibilities
Responsible for the design and development of monitoring and automation functions of the cluster management platform, and continuously improving the cluster management and control capabilities
Assisting in the analysis and troubleshooting of issues related to cluster containers, operating systems, networks, storage, etc
Managing the quota of each business in the cluster, analyzing utilization rates, and subsequent capacity planning
Participate in operation and maintenance duty, promptly handle faults, and respond to user issues and requirements
Qualification
Required
Bachelor or above degree in computer science or related majors
3+ years of industrial experience, including solid Linux platform operation, maintenance, and debugging capabilities, with proficiency in troubleshooting, configuration optimization, and performance analysis
Proficient in programming in one of the following programming languages such as: Python, Go, Shell, etc
Familiar with the Kubernetes architecture, understand the functional characteristics of each component, and have rich practical experience in deployment and optimization of Kubernetes CNI, CSI, LB, etc
Preferred
Experience in large-scale training cluster construction and optimization is preferred
Good communication and coordination skills
Demonstrated independent thinking capabilities and troubleshooting skills
Company
ScitiX
ScitiX AI specializes in performance GPU solutions, offering serverless GPU cloud, full-stack AI Platform and model inference service.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase