Search jobs right inside Claude, ChatGPT or Cursor. Connect freehire over MCP — free, no account needed to search.
What You’ll Do Build and maintain efficient back-end features in Python together with a production team; Improve applications performance and reliability; Define REST APIs and integrate them into our solutions; Play a…
Security engineer running Gcore's internal security operations: monitoring and incident response with Microsoft Defender XDR, Entra ID and Wazuh SIEM, endpoint and access security via Intune/Kandji MDM, plus phishing defense, awareness training, and compliance work (ISO 27001, SOC 2, PCI DSS) with Vanta.
DevOps/SRE engineer at Gcore deploying and maintaining cloud IaaS infrastructure: provisioning servers, running maintenance, and diagnosing software/hardware issues using Linux, OpenStack, Ceph, Puppet/Ansible/Terraform, Prometheus/VictoriaMetrics/Grafana, and Bash/Python. Includes an on-call rotation; remote/hybrid/office from Serbia, Cyprus, or Georgia.
DevOps/SRE engineer at Gcore dedicated to securing its Everywhere AI product: building and maintaining GitLab CI/CD pipelines, hardening Docker images, scanning for vulnerabilities, signing images, and securing Kubernetes workloads. Core stack: Docker, GitLab CI/CD, Kubernetes, Linux, and supply-chain security tools like Trivy, Cosign, and Sigstore.
About the role: We are looking for a skilled QA Automation Engineer to drive quality assurance initiatives through the design, development, and maintenance of automated testing solutions for backend services and APIs.…
What You'll Do Design and implement AI inference and model training cloud products optimized for Kubernetes - from autoscaling inference servers to distributed training jobs across GPU fleets Write clean,…
What You’ll Do Build Python services and APIs for the lifecycle of GPU virtual machines and bare-metal servers. Develop workflows for provisioning, placement, maintenance, quarantine, and recovery. Improve how capacity…
The DevOps Engineer will design, deploy, and maintain infrastructure for scalable AI inference workloads, focusing on Kubernetes, GPU scheduling, and monitoring. The role involves collaborating with ML engineers to build robust CI/CD pipelines and observability tools for on-premises environments.
We couldn't check your fit for this role — add a CV to your profile to see it next time.