Gcore

Cloud Engineer

• Handle customer and internal user requests via chat, email, and occasionally phone calls in English.
• Provide consultations regarding our products and services in Edge Cloud.
• Conduct technical diagnostics to resolve issues, gather information about customer and user incidents, and escalate to higher levels of technical support if needed.
• Address complex technical issues and provide timely, effective solutions while considering the impact on customers' business operations, based on internal documentation.
• Identify patterns and trends in technical issues and suggest improvements to prevent reoccurrences, sharing knowledge and expertise with other team members to enhance overall support capabilities.

Technical Support Engineer, Edge Cloud

DevOps Engineer

• Design, develop, and maintain infrastructure for AI inference workloads, including GPU scheduling, model deployment pipelines, and data access patterns in on-prem environments
• Build and manage monitoring and observability tools for AI inference platforms, including dashboards, alerts, and runbooks for model health and system performance
• Collaborate with ML engineers and platform teams to design system architecture for AI workloads, integrate inference runtimes, and test performance at scale

DevOps Engineer – AI Inference

Customer Support

• First-line support, which includes handling customers and internal users requests via chat, email, and phone (rarely happens) in English
• Provide consultations about our products and services, such as Cloud, CDN, Hosting, AI and more
• Resolve technical issues by providing technical diagnostics and collect the information about customers and users incidents, forward it up to the higher levels of technical support if needed.

Customer Support Specialist, Day Shift

SDET

• Enhance the quality and reliability of software products by driving test automation, building QA infrastructure, and implementing strategies that ensure effective and stable testing processes.
• Drive quality assurance initiatives through the design, development, and maintenance of automated testing solutions for backend services and APIs.
• Build scalable test automation frameworks, develop internal quality tools, and integrate automated testing into CI/CD pipelines to ensure reliable and efficient software delivery.
• Work closely with developers, DevOps engineers, and product teams to improve product quality, increase test coverage, and optimize automation execution.
• Analyze test results, investigate failures, and perform root cause analysis.
• Collaborate closely with developers, DevOps engineers, and product teams to improve product quality - Improve test coverage, reliability, and execution efficiency.
• Participate in code reviews and establish automation best practices.
• Contribute to quality strategy and continuous improvement initiatives.
• Evaluate and adopt modern engineering tools and practices, including AI-assisted development workflows.

Technical Support Engineer, Edge Cloud

DevOps Engineer – AI Inference

Customer Support Specialist, Day Shift

QA Automation Engineer

Customer Support Specialist

DevOps Engineer – AI Inference