Deploy and maintain cloud IaaS infrastructure, troubleshoot hardware and software issues, and improve infrastructure lifecycle pipelines using Linux, OpenStack, and automation tools.
Build and secure the CI/CD and Kubernetes infrastructure for AI inference, automating vulnerability detection, container hardening, image signing, and software supply chain security.
As a Global Data Center Capacity Manager, you will proactively identify and secure data center capacity, building relationships within the ecosystem to support Gcore's cloud and AI platforms.
You will oversee the operational execution of various international events, ensuring they run smoothly by coordinating logistics, suppliers, and project plans.
As a Technical Support Engineer for Edge Network, you will handle customer requests, provide consultations, conduct diagnostics, and address complex technical issues to enhance user experience.
As a Technical Support Engineer for Edge Cloud, you will resolve customer inquiries, conduct diagnostics, and enhance support capabilities through effective solutions and collaboration.
As an HRBP Lead, you'll drive organizational effectiveness by partnering with senior leaders to align people strategies with business goals and lead the HR Business Partner team.
As an Infrastructure Project Manager, you will oversee the deployment and transformation of Gcore's infrastructure, managing projects from initiation through to formal closure.
Drive quality assurance initiatives by designing, developing, and maintaining automated testing solutions for backend services and APIs to enhance software reliability.
As a Golang Engineer, you'll design and implement Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads.
As a Network Automation Engineer, you will focus on automation, DevOps practices, and software development to enhance infrastructure reliability and scalability.
As a Python Inference Engineer, you will enhance the Gcore Inference platform by integrating frameworks, optimizing performance, and collaborating with cross-functional teams.
As a Software Python Engineer (GPU Cloud), you will build and maintain Python services and APIs for GPU virtual machines, enhancing operational efficiency and reliability.
As a DevOps Engineer, you will design, deploy, and maintain infrastructure for scalable and secure AI inference workloads, collaborating with ML engineers and platform teams.
As a Software Engineer, you'll develop and maintain the Traffic Management System API, enhancing routing and traffic-steering capabilities across a global edge fleet.
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