DevOps Engineer with AI
Indexed description
We’re looking for a highly engaged Senior DevOps Engineer – AI Platforms to join one of our strategic projects within a large-scale telecommunications environment. The project is part of Telekom's Enterprise Business division and focuses on building and operating the infrastructure behind next-generation AI-powered enterprise applications. You will play a key role in designing, automating, and maintaining the environments that enable modern AI solutions, ensuring they are scalable, secure, and production-ready. This is an opportunity to work with emerging AI technologies while shaping the technical foundation of an innovation-driven platform where experimentation and continuous improvement are encouraged.
What You'll Be Doing
- Design, implement, and maintain Linux-based infrastructure supporting AI applications and development environments
- Build, optimize, and maintain CI/CD pipelines for AI workloads and enterprise applications
- Automate infrastructure provisioning, deployment, and configuration management
- Manage remote development environments using Visual Studio Code and SSH
- Deploy, operate, and optimize local Large Language Models using technologies such as vLLM
- Administer and optimize relational and vector databases, currently MariaDB and Milvus
- Collaborate closely with AI engineers to provide scalable, secure, and reliable development platforms
- Monitor platform performance, availability, and security while implementing continuous improvements
- Contribute to infrastructure architecture decisions, automation strategies, and DevOps best practices
- Support the adoption of AI-assisted development tools such as Claude Code
- Degree in Computer Science, Information Technology, or a comparable field
- Minimum 5 years of experience in a similar position
- Extensive experience working with Linux systems and enterprise infrastructure
- Strong knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation
- Experience with containerization technologies and version control systems such as Git
- Hands-on experience managing development environments and remote infrastructure
- Knowledge of Infrastructure as Code and modern deployment automation tools
- Experience administering relational databases and vector databases such as MariaDB and Milvus is considered an advantage
- Understanding of AI infrastructure, GPU-enabled environments, and local LLM deployments is considered a strong plus
- Knowledge of cloud platforms, networking, security, and system monitoring
- Strong analytical and problem-solving skills with a proactive mindset
- Excellent communication skills in English are required
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