DevOps Engineer

đź•’ vor 1 Monat

🇺🇦 Ukraine – Remote

⏰ Vollzeit

🟢 Junior

🟡 Mittelstufe

⛑ DevOps- und Site Reliability Engineer (SRE)

đź‘» Geisterscore 19%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of NVIDIA

NVIDIA

10.000+ Mitarbeiter

GegrĂĽndet 1993

🏥 Gesundheitswesen

🏭 Fertigung

🤖 Künstliche Intelligenz

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA ist ein führendes Technologieunternehmen mit Spezialisierung auf beschleunigtes Computing und Künstliche Intelligenz (AI). NVIDIA treibt Fortschritte bei Grafikprozessoren (GPUs), Cloud Computing, Rechenzentren und Virtual Reality voran und fokussiert dabei Branchen wie Gaming, Automotive, Gesundheitswesen und Robotik. Innovationen des Unternehmens wie NVIDIA Omniverse transformieren traditionelle digitale Prozesse, indem sie hochrealistische Simulationen und Rendering-Aufgaben ermöglichen. Die Anwendungen erstrecken sich über zahlreiche Branchen – von autonomen Fahrzeugen mit NVIDIA DRIVE über Gesundheitslösungen mit NVIDIA Clara bis hin zu AI-gestützten Analysen und Workflows.

Beschreibung

• Build and maintain infrastructure across bare-metal, virtualized, and containerized environments using advanced technologies and high-end hardware. • Drive continuous improvements across CI/CD pipelines and automation workflows. • Provide infrastructure and automation support for development and verification teams, enabling efficient development and testing processes. • Support development and integration activities for next-generation infrastructure and software platforms. • Improve reliability, scalability, and operational efficiency across Linux- and Windows-based environments.

🎯 Anforderungen

• 2+ years of experience developing CI/CD processes and contributing in DevOps environments, with a strong passion for automation. • Hands-on experience with CI/CD tools such as Jenkins and GitLab CI. • Extensive experience with hardware-focused infrastructure, including bare-metal and virtualization platforms. • 2+ years of experience working with Linux distributions such as CentOS, Ubuntu, SLES, or Red Hat. • Strong scripting skills in Bash, Python, Groovy. • Good knowledge of virtualization in Linux, including QEMU/KVM, and container orchestration with Kubernetes. • Experience with source control platforms such as GitHub and GitLab. • Understanding of Linux packaging software, including .rpm and .deb. • BSc in Computer Science, Engineering, Information Technology, or similar. • Experience with agentic AI tools, AI-driven automation, or integrating AI into DevOps workflows. • Strong networking knowledge, including TCP/IP, switching, routing, and troubleshooting in Linux- and Windows-based environments. • Experience with PyTest or similar testing frameworks. • Good understanding of the C/C++ toolchain in Linux, including cross-compilation and build tools such as make, cmake, and meson.

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