AI SWE / Agentic Handover Engineer - T Cloud Public (REF5672Y)

As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries.

DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

Mission
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.

Key responsibilities

• 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.

Candidate profile

• 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.

You will be working in the European Union to meet our customers' data security and privacy requirements.

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.