DevOps Engineer

Overview

• We are looking for a DevOps Engineer with strong hardware and IT infrastructure knowledge.
• This role includes researching, building, and maintaining automated processes across advanced infrastructure environments, with a real opportunity to make an impact in a dynamic, technology-driven company.
• The ideal candidate brings technical excellence, creative problem-solving, and seamless integration of AI into daily work processes, while enabling efficient development and testing workflows across distributed engineering teams.
• What You’ll Be Doing: 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.
• What We Need To See: 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.
• Ways to stand out from the crowd: 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.