DevOps engineer for AI inference

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. We are looking for a talented DevOps/SRE Engineer to join our AI Inference Operations Team.

• Design, build, and maintain secure CI/CD pipelines using GitLab CI/CD.
• Implement automated vulnerability scanning for Docker images and dependencies.
• Identify, investigate, and remediate security vulnerabilities in container images.
• Harden Docker images by minimizing attack surfaces and applying security best practices.
• Implement container image signing and verification to ensure software supply chain integrity.
• Automate security checks and enforce security policies throughout the CI/CD lifecycle.
• Secure and maintain Kubernetes workloads, configurations, and deployments.

• Strong hands-on experience with Docker, container security, and image optimization.
• Practical experience building and maintaining GitLab CI/CD pipelines.
• Hands-on experience with Kubernetes, including workload deployment, configuration, and security.
• Solid understanding of Linux security, system hardening, and vulnerability management.
• Experience with container vulnerability scanning tools (Trivy, Grype, or similar).
• Familiarity with container image signing and verification (Cosign, Sigstore).
• Strong scripting skills (Bash, Python) and a security-first mindset.
• Будет плюсом: 3+ years of experience in DevOps, DevSecOps, or Platform Engineering; Experience implementing security controls in CI/CD pipelines; Knowledge of Kubernetes security best practices, including RBAC, NetworkPolicies, Pod Security Standards, and admission controllers; Knowledge of software supply chain security, SBOMs, and artifact provenance; Experience working with minimal and hardened container images (Alpine, Distroless, Chainguard, or similar); Familiarity with Helm and container registries; Understanding of security standards and best practices (CIS Benchmarks, OWASP, NIST); Experience with Kubernetes policy-as-code tools (OPA Gatekeeper, Kyverno); Familiarity with Kubernetes security tools (Falco, Kubescape, kube-bench); Experience with Infrastructure as Code (Terraform, Ansible); Knowledge of the SLSA framework and software supply chain security practices; Experience with automated dependency updates and vulnerability remediation (Renovate, Dependabot)

• Competitive compensation
• Flexible working hours and hybrid or remote 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*
• Extra paid vacation and sick leave days*
• Support for life’s important moments and celebrations
• Language courses to help you connect and grow
• Modern, welcoming offices with snacks, drinks, and entertainment*
• Team sports and social activities*