Jobs at Gcore

Operate and evolve a global Edge Cloud IaaS: deploy and maintain Linux infrastructure, automate provisioning and lifecycle with GitLab CI, Ansible and Terraform, troubleshoot compute, networking, virtualization and storage, improve reliability and observability, collaborate across teams, and participate in on-call rotation.

Design, deploy, and maintain on-prem infrastructure for scalable AI inference workloads. Build GPU scheduling, model deployment pipelines, monitoring/observability, and collaborate with ML and platform teams to integrate inference runtimes and test performance at scale.

Design, build, and maintain a Go-based Traffic Management System API and edge agent to render/apply routing configuration. Implement routing (BGP/Anycast), automated failover, high-availability features, and strengthen reliability via tests, metrics, and observability while collaborating with cross-functional teams.

Design, build, and operate GitLab CI/CD pipelines, manage Kubernetes and Docker workflows, embed DevSecOps controls, improve reliability via monitoring and incident response, and document runbooks and architecture standards.

Design, deploy, and maintain on-prem infrastructure for scalable AI inference: GPU scheduling, model deployment pipelines, monitoring/observability, and collaborate with ML and platform teams to integrate runtimes and test performance at scale.

Design, build, and maintain automated test suites and QA infrastructure for backend services and APIs. Integrate tests into CI/CD pipelines, analyze failures, improve test coverage and execution, collaborate with dev and DevOps teams, and adopt AI-assisted tools to accelerate testing and diagnostics.

Design and implement Kubernetes-native AI inference and training products using Go. Build controllers, operators, CRDs, APIs, CLIs, and developer tools to manage AI workloads, optimize serverless container workflows, and address GPU scheduling, performance, reliability, and security challenges in distributed systems.

Lead design, deployment, and maintenance of edge infrastructure; ensure high availability, security, and performance; drive automation, observability, and incident response; mentor engineers and collaborate cross-functionally.

Temporary on-site HR Manager covering a 9-month maternity leave to run HR operations for Georgia-based employees: onboarding/offboarding, payroll coordination, documentation, benefits, immigration and work permits, EOR provider coordination across 12 countries, global mobility, and basic office administration. Acts as employee contact, maintains HR data, and collaborates with global HR teams.

The Head of Infrastructure Operations will oversee data center infrastructure systems, ensuring stability and reliability while managing teams and vendor relationships, and driving operational innovation.

Design and implement billing and analytics systems using Python, focusing on data analysis, reporting, and real-time insights, while collaborating with cross-functional teams.

As a Principal Support Engineer, you'll solve advanced technical issues in cloud infrastructure, lead incident responses, and mentor junior engineers while ensuring system reliability.