- Operate, maintain, and monitor the global CDN infrastructure.
- Respond to incidents, diagnose issues promptly, and participate in on-call rotations.
- Automate repetitive tasks using scripting and configuration management tools.
Gcore
8 open remote positions
Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security. With over 550 professionals, the company builds infrastructure that supports the entire digital ecosystem.
Benefits Overview 8 of 8 jobs
Flexible Hours
(4)
Language courses
(4)
Medical Insurance
(4)
Medical insurance
(4)
Sick Leave
(4)
Flexible hours
(3)
Paid vacation
(3)
Language Courses
(2)
Remote Work
(2)
Remote options
(2)
Sick leave
(2)
Additional Vacation Days
(1)
Extra vacation
(1)
Language Classes
(1)
PTO
(1)
Paid Vacation
(1)
Snacks
(1)
Social activities
(1)
Team Sports
(1)
Vacation
(1)
Open Positions
- First-line support handling customer and internal user requests via chat, email, and phone in English.
- Provide consultations about products and services such as Cloud, CDN, Hosting, AI and more.
- Resolve technical issues by performing diagnostics and escalating to higher support levels.
- Deploy and operate Linux-based infrastructure for the Edge Cloud platform.
- Build and automate infrastructure provisioning and lifecycle management.
- Troubleshoot complex issues across compute, networking, virtualization, and storage layers.
- Deploy new servers and implement infrastructure changes.
- Plan and execute infrastructure maintenance, diagnose and resolve issues.
- Enhance infrastructure lifecycle pipelines.
- Build and operate CI/CD pipelines in GitLab with pipelines-as-code, runners, and templates.
- Manage container platforms using Kubernetes for deployments, ingress, scaling, and troubleshooting.
- Embed DevSecOps practices into delivery including SAST/DAST scanning, secrets scanning, and compliance-friendly pipelines.
- Enhance product quality by driving test automation and building QA infrastructure for backend services and APIs.
- Develop scalable test automation frameworks and integrate them into CI/CD pipelines for reliable software delivery.
- Collaborate with developers and DevOps to improve test coverage, reliability, and release confidence.
- Design and implement AI inference and training cloud products optimized for Kubernetes, including autoscaling and distributed jobs across GPU fleets.
- Write clean, efficient Go code for Kubernetes controllers, operators, and custom resources supporting AI workloads.
- Build APIs, CLIs, and developer tools to simplify deployment, lifecycle management, and monitoring of AI applications.
- Manage deployment and upkeep of internal network infrastructure including routers, switches, firewalls, and wireless equipment.
- Install, configure, and maintain internal servers and services, implementing infrastructure changes and improvements.
- Troubleshoot and resolve hardware and software issues while planning regular maintenance for system health and uptime.