AI SWE / Agentic Handover Senior Engineer for T Cloud Public (m/f/d)

Our brand Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 under the name of T-Systems Slovakia and ever since has been inextricably linked with the region when became one of the founding members of Košice IT Valley. We have managed to grow from scratch to the second largest employer in the eastern part of the country with more than 3900 employees. Our goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services. Purpose 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. Role Focus 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. Examples of market tools and models expected - 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. YOU WILL SUCCEED IF YOU: - Have 5+ years in software engineering, platform engineering, or DevOps-oriented development roles, with recent hands-on work on LLM-enabled engineering workflows preferred. - Have strong coding skills in Python plus experience in at least one systems or backend language such as Java, Go, C, C++, or Rust. - Have solid understanding of Git, CI/CD, container builds, Kubernetes-based delivery, and software architecture analysis. - Have experience with codebase exploration, reverse engineering, technical debt identification, and engineering documentation in complex environments. - Have good working knowledge of cloud platform architectures derived from OpenStack, including modular service design and multi-component integration patterns, is strongly preferred.