DevOps Engineer (Cloud AIaaS)

<p> <strong>Headquarters:</strong> . , Poland, Serbia, Lithuania, Georgia, Cyprus </p> <div><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Company Description</h2></div><div class="wysiwyg"><p><strong><em>This position is available only under an employment (labor) agreement. </em></strong></p><p>The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. At Gcore, <strong>you’ll help design and deliver that foundation for an AI-driven world. </strong></p><p>We’re a global provider of infrastructure and software solutions for <strong>AI, cloud, network, and security,</strong> powering everything from real-time communication and streaming to enterprise AI and secure web applications. With <strong>210+ edge locations, 50+ cloud regions, and thousands of GPUs,</strong> your work here can reach users and businesses across the globe. </p><p>You’ll collaborate with leading technology partners such as <strong>Intel, NVIDIA, Dell, and Equinix,</strong> and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime. </p><p><strong>Want to work on technology that goes beyond a single product or industry?</strong>  Join a global team of <strong>550+ professionals</strong> building infrastructure and software that supports the entire digital ecosystem. <br><br><br><br>We are currently looking for <strong>a DevOps Engineer </strong>to join our Edge Cloud Operations Team.</p></div><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Job Description</h2></div><div class="wysiwyg"><p>As a DevOps Engineer, you will be responsible for designing, deploying, and maintaining infrastructure and services that enable scalable and secure AI inference workloads on-premises.</p><p><strong>What You’ll Do</strong></p><ul><li>Design, develop, and maintain infrastructure for AI inference workloads, including GPU scheduling, model deployment pipelines, and data access patterns in on-prem environments</li><li>Build and manage monitoring and observability tools for AI inference platforms, including dashboards, alerts, and runbooks for model health and system performance</li><li>Collaborate with ML engineers and platform teams to design system architecture for AI workloads, integrate inference runtimes, and test performance at scale</li></ul></div><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Qualifications</h2></div><div class="wysiwyg"><p><strong>What We’re Looking For Hands-on Experience In</strong></p><ul><li>Containerization and Container Orchestration: Kubernetes, Helm, Docker/CRI-O</li><li>Linux and networks</li><li>Programming and Scripting: Python/Go/Bash</li><li>Infrastructure as Code (IaC) approach: Ansible, Terraform</li><li>Creating CI/CD pipelines: GitLab/GitHub actions</li><li>Experience with Cluster API or any other "Kubeception" technology</li><li>Deep experience with Kubernetes CNI, CSI, and Operators</li></ul><p><strong>Nice to Have</strong></p><ul><li>Knowledge in Kubernetes-related technologies such as ArgoCD, Helmfile</li><li>Experience with Prometheus stack</li><li>Experience with other Cloud Native technologies</li></ul></div><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Additional Information</h2></div><div class="wysiwyg"><p><strong>Benefits </strong></p><p>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: </p><ul><li>Competitive compensation </li><li>Flexible working hours and hybrid or remote options, depending on your role </li><li>Work from anywhere in the world for up to <strong>45 days per year</strong> </li><li>Private medical insurance for you and your family* </li><li>Extra paid vacation and sick leave days* </li><li>Support for life’s important moments and celebrations </li><li&g