DevOps Engineer (Cloud AIaaS)

O projekcie: Company Description The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. At Gcore, you’ll help design and deliver that foundation for an AI-driven world.  We’re a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations, 50+ cloud regions, and thousands of GPUs, your work here can reach users and businesses across the globe.  You’ll collaborate with leading technology partners such as Intel, NVIDIA, Dell, and Equinix, and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime.  Want to work on technology that goes beyond a single product or industry?  Join a global team of 550+ professionals building infrastructure and software that supports the entire digital ecosystem.  Benefits  At Gcore, we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth, well-being, and life beyond work:  - Competitive salary - Flexible working hours - Remote, hybrid, or office work options depending on your role - Work from anywhere in the world for up to 45 days per year - Private medical insurance for you and your family* - 5 additional vacation days* - Additional fully paid sick leave days* - Allowance for significant life events and birthdays - Language classes - Modern office space with free snacks, drink and entertainment options* - Team sports activities* *Please be aware that this benefit may vary depending on your country. Equal Opportunity Employer We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics. Wymagania: What We’re Looking For Hands-on Experience In - Containerization and Container Orchestration: Kubernetes, Helm, Docker/CRI-O - Linux and networks - Programming and Scripting: Python/Go/Bash - Infrastructure as Code (IaC) approach: Ansible, Terraform - Creating CI/CD pipelines: GitLab/GitHub actions - Experience with Cluster API or any other "Kubeception" technology - Deep experience with Kubernetes CNI, CSI, and Operators Nice to Have - Knowledge in Kubernetes-related technologies such as ArgoCD, Helmfile - Experience with Prometheus stack - Experience with other Cloud Native technologies Codzienne zadania: - 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