Role Description We are seeking talented and motivated C Developer Interns to join our CloudLinux team. As an intern at CloudLinux, you will have the opportunity to gain hands-on experience in C development and contribute to the development of our innovative projects. We are currently looking for a C Developer Intern for one of our core teams: - Endless Lifecycle Support (ELS) – extending the life of Linux distributions beyond their official end-of-life by providing critical security patches and updates. Interns in this team focus on backporting, patching, and ensuring long-term stability across different environments. In this role, you will have the opportunity to: - Work on real-world projects and contribute to the development of our products - Collaborate with our experienced development team and learn from industry professionals - Gain experience in writing clean, efficient, and maintainable code - Participate in code reviews and follow best practices - Learn how to write effective unit tests and ensure quality in software development - Get exposure to different areas of C development, including backend development and system programming This is a remote internship opportunity, allowing you to work from anywhere and have a flexible schedule. Qualifications - Some C programming and debugging skills - Experience using Git for development and patch/branch management - Experience with GNU/Linux operating system (CLI) and shell scripting - Basic experience with building the Linux kernel and troubleshooting related issues - English proficiency at B1 level or above - Self-starter who’s hungry to learn - Final-year student or entry-level engineer with strong basics - Able to read and reason about C / systems code - Solid fundamentals in algorithms and data structures - Comfortable using AI coding assistants day-to-day - Broad awareness of the current AI-assisted development landscape Benefits - A focus on professional development - Interesting and challenging projects - Fully remote work with flexible working hours - Paid vacation, 10 days of national holidays, and unlimited sick leaves - Compensation for private medical insurance - Co-working and gym/sports reimbursement - Budget for education - The opportunity to receive a reward for the most innovative idea that the company can patent - Learn AI-assisted development workflows across the full development lifecycle

• Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming • Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs) • Production and QC / validation programming • Generating complex ad-hoc reports utilizing raw data • Applying strong understanding/experience of Efficacy analysis • Creating and reviewing submission documents and eCRTs • Communicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries • Performing lead duties when called upon • Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc. • Being adaptable and flexible when priorities change

• Perform solution-level technical analysis, design, and implementation of EDI integrations • Lead day-to-day technical execution of integration and API projects alongside globally distributed teams • Translate solution designs into production-ready, high-quality implementations • Enforce code quality standards and adherence to development best practices • Provide technical leadership and collaborate effectively with globally distributed teams • Mentor junior developers and conduct thorough code reviews • Troubleshoot and resolve complex production issues, offering clear technical guidance throughout

Role Description Support technical due diligence and transition readiness by using AI-assisted software engineering methods to understand complex codebases, reconstruct dependencies, diagnose builds, accelerate documentation, and improve handover readiness in enterprise cloud and platform environments. A core objective of the role is to help analyse and evolve a cloud software stack derived from OpenStack, including its service decomposition, control-plane components, interfaces, and build structure. This position targets repository-scale code understanding, dependency discovery, build and compile diagnosis, technical documentation generation, and AI-assisted support for software handover activities in an enterprise setting. The candidate should be comfortable working with a modular cloud platform architecture based on OpenStack-style services and surrounding infrastructure components. WHAT WILL YOU DO? - Analyse large software repositories to map services, dependencies, interfaces, build flows, and technical risks relevant to technical due diligence. - Reconstruct the architecture of a cloud software stack derived from OpenStack, including key service boundaries, integration points, APIs, and operational dependencies. - Use AI coding agents and structured prompting patterns to accelerate code understanding, reverse engineering, and documentation generation across large codebases. - Support build-log diagnosis, compile issue triage, and reproducibility analysis across CI/CD pipelines and container-based delivery environments. - Produce structured handover artefacts including architecture summaries, dependency maps, code quality observations, and readiness assessments for receiving engineering teams. - Work closely with software architecture, DevOps, testing, and security specialists to convert AI-assisted insights into actionable engineering outputs. Qualifications - AI coding environments such as Windsurf, Cursor, Claude Code, or VS Code-based AI extensions for large-repository engineering workflows. - Frontier coding models such as Anthropic Claude Opus-class models and newer, high-capability coding models used through enterprise-approved interfaces or bring-your-own-key setups. - Supporting engineering tools such as GitHub Enterprise, GitLab, Jenkins, ArgoCD, Helm, Docker, Kubernetes, and terminal-native automation workflows. - Familiarity with OpenStack-oriented cloud software environments and adjacent components such as Nova, Neutron, Cinder, Keystone, Glance, and Kubernetes integration patterns is highly valuable. Requirements - 5+ years in software engineering, platform engineering, or DevOps-oriented development roles, with recent hands-on work on LLM-enabled engineering workflows preferred. - Strong coding skills in Python plus experience in at least one systems or backend language such as Java, Go, C, C++, or Rust. - Solid understanding of Git, CI/CD, container builds, Kubernetes-based delivery, and software architecture analysis. - Experience with codebase exploration, reverse engineering, technical debt identification, and engineering documentation in complex environments. - Good working knowledge of cloud platform architectures derived from OpenStack, including modular service design and multi-component integration patterns, is strongly preferred. - Comfortable working in high-accountability enterprise settings with strong expectations on confidentiality, evidence quality, and structured deliverables. Benefits - Financial benefits - Benefits with focus on learning and development - Benefits with focus on health and sport - Benefits with focus on family and work – life balance - Other benefits For more information about our benefits click to Salary Final salary is negotiable. We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 1850€ /brutto. Additional Information Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation. Location: Kosice Company: Deutsche Telekom System Solutions Slovakia Language: English Job category: Technical positions