AI SWE / OpenStack Service Engineer (m/f/d)

Job description

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. WHAT WILL YOU DO? Analyse OpenStack-style services and surrounding components to map APIs, configuration flows, service dependencies, database usage, and operational assumptions. Use AI coding agents to accelerate code navigation, call-flow reconstruction, interface analysis, and technical documentation across large multi-repository environments. Support build and test diagnosis for selected services, including dependency resolution, container build issues, runtime configuration gaps, and reproducibility problems. Create structured service handover artefacts such as service maps, dependency notes, API summaries, risk observations, and onboarding documents for receiving teams. Work with DevOps, testing, security, and architecture specialists to validate AI-assisted findings and turn them into actionable engineering backlog items. Identify technical debt, maintainability risks, hidden coupling, missing documentation, and areas where automated analysis should be complemented by expert review. 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. 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: 5+ years in software engineering, cloud platform engineering, DevOps-oriented development, or technical software handover roles. Strong Python skills plus experience in at least one backend or systems language such as Go, Java, C, C++, or Rust. Practical experience using AI-assisted development tools for codebase exploration, documentation generation, refactoring support, or build issue triage. Good understanding of OpenStack-derived architectures, cloud control planes, distributed services, APIs, CI/CD, container delivery, and Linux-based environments. Strong analytical discipline for separating AI suggestions from evidence-backed findings and producing concise technical outputs for engineering stakeholders. Comfortable working in confidential enterprise environments with high expectations on traceability, quality of documentation, and structured handover readiness. WHY SHOULD YOU CHOOSE US? We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas: 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 Benefits 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 2100€ /brutto. Additional information * Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation. 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.