Process and investigate incoming abuse reports such as phishing, spam, and DMCA violations across company products. Collaborate with internal teams to address security issues and maintain accurate documentation for all handled cases.
You will design and maintain software to automate complex network management, monitoring, and configuration tasks. Additionally, you will collaborate with engineering teams to integrate these automation solutions into deployment pipelines.
You will handle customer and internal user requests via chat, email, and phone while providing technical consultations for Edge Cloud products. Additionally, you will conduct diagnostics to resolve incidents, escalate complex issues, and identify trends to improve support capabilities.
Provide first-line technical support for customers and internal users via chat, email, and phone. Resolve technical issues by performing diagnostics and escalating complex incidents to higher support levels.
Provide first-line technical support for customers via chat, email, and phone regarding cloud, CDN, and hosting services. Resolve technical issues by performing diagnostics and escalating complex incidents to higher support levels.
Build and maintain secure GitLab CI/CD pipelines, automate vulnerability scanning, and investigate and remediate security issues in container images. Harden and sign container images, enforce security policies throughout the delivery lifecycle, and secure Kubernetes workloads and deployments.
Handle customer and internal user requests via chat, email, and phone while providing technical consultations for Edge Network products. Conduct technical diagnostics to resolve incidents, escalate complex issues, and identify patterns to suggest service improvements.
You will handle customer and internal user requests via chat, email, and phone while providing technical consultations for Edge Network products. Additionally, you will conduct diagnostics to resolve incidents, escalate complex issues, and identify trends to improve support capabilities.
You will build and improve the inference layer of the Gcore platform by integrating frameworks like vLLM and TensorRT-LLM. Additionally, you will optimize model performance, including latency, throughput, and GPU utilization, while debugging complex issues across the stack.
You will build and maintain Python services and APIs for managing GPU virtual machines and bare-metal servers within a cloud infrastructure. Additionally, you will automate provisioning workflows, integrate hardware into Kubernetes, and investigate production issues across the control plane.
Develop and maintain RESTful APIs for managing GPU clusters and cloud infrastructure while bridging the gap between development and operations. You will participate in the full lifecycle management of compute products and design architectures focused on high availability and scalability.
