DevOps/SRE Engineer (AI Inference)
# DevOps/SRE Engineer (AI Inference) **Gcore** · Cyprus; Georgia; Serbia · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[DevOps-Engineer]` `[SRE-Engineer]` `[Platform-Engineer]` `[Site-Reliability-Engineer]` `[DevSecOps-Engineer]` `[Senior-DevOps-Engineer-AI-ML]` `[AI-DevOps-Engineer]` `[Senior-AI-ML-Operations-Engineer]` `[DevOps-Site-Reliability-Engineer]` `[SRE-DevOps-Engineering]` --- ### About the Role The employee will be dedicated full-time to ensuring the security and license compliance of our Everywhere AI product, including scanning for open-source license violations and security vulnerabilities, as well as designing, building, and maintaining its CI/CD deployment pipeline. What You Will Do - 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. What We're Looking For - 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. Preferred Qualifications - 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). Nice to Have - 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). 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 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* *Benefits may vary depending on your location. This position is available only under an employment (labor) agreement. 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. We are looking for a talented DevOps/SRE Engineer to join our AI Inference Operations Team. Originally posted on Himalayas
- DevOps-Engineer
- SRE-Engineer
- Platform-Engineer
- Site-Reliability-Engineer
- DevSecOps-Engineer
- Senior-DevOps-Engineer-AI-ML
- AI-DevOps-Engineer
- Senior-AI-ML-Operations-Engineer
- DevOps-Site-Reliability-Engineer
- SRE-DevOps-Engineering
Наблюдалась 2026-10-17, впервые 2026-10-17, источник — Himalayas (JSON API).