AI SWE / OpenStack Service Engineer - T Cloud Public @ Deutsche Telekom IT Solutions Hungary v Maďarsko, Česko

Odpovědnosti

1. Analyse OpenStack-style services and surrounding components to map APIs, configuration flows, service dependencies, database usage, and operational assumptions.
2. Use AI coding agents to accelerate code navigation, call-flow reconstruction, interface analysis, and technical documentation across large multi-repository environments.
3. Support build and test diagnosis for selected services, including dependency resolution, container build issues, runtime configuration gaps, and reproducibility problems.
4. Create structured service handover artefacts such as service maps, dependency notes, API summaries, risk observations, and onboarding documents for receiving teams.
5. Work with DevOps, testing, security, and architecture specialists to validate AI-assisted findings and turn them into actionable engineering backlog items.
6. Identify technical debt, maintainability risks, hidden coupling, missing documentation, and areas where automated analysis should be complemented by expert review.

O pozici / o projektu

Company Description

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.

Job Description

Mission

Support Meridian technical due diligence and transition readiness by using AI-assisted software engineering methods to understand OpenStack-derived cloud services, reconstruct service boundaries, diagnose dependencies, and accelerate the creation of high-quality handover documentation.

Role focus

This position targets service-level analysis of modular cloud software, especially control-plane components, API surfaces, integration dependencies, configuration models, and runtime assumptions. The candidate should use AI development platforms pragmatically to speed up engineering work while maintaining strong human review and traceable evidence.

Examples of market tools, models, and SDLC platforms expected

• AI coding environments such as Cursor, Windsurf, Claude Code, Cline, Continue, or VS Code-based AI extensions for large-repository engineering workflows.
• Coding-capable models such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or other approved open-weight and enterprise model stacks.
• OpenStack-related components and patterns such as Nova, Neutron, Cinder, Keystone, Glance, Horizon, Heat, placement services, message buses, and Kubernetes integrations.
• Supporting engineering tools such as Git, GitLab, Jenkins, Docker, Kubernetes, Helm, ArgoCD, Python tooling, API clients, log analysis tools, and dependency scanners.

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

Detail pracovní nabídky

• Ihned
• Práce na dálku po dobu 4 dnů v týdnu

Výhody v kanceláři

• Bezplatná káva
• Jídelna
• Parkování kol
• Zábavná zóna
• Sprcha
• Bezplatné parkování
• Vnitřní školení
• Vnitřní hack days
• Moderní kancelář
• Bez požadavku na dress code

Výhody

• Sportovní balíček
• Soukromá zdravotní péče
• Mezinárodní projekty
• Rozpočet na školení
• Mobiltelefon