**Company Description** T‑Systems is part of the Deutsche Telekom Group, with around 30\.000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience. We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day. **Job Description** **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. **Qualifications** * 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. **Additional Information** **What do we offer you?** **Work environment \& flexibility** * International, dynamic and collaborative environment. * T\-Social: social initiatives (sports, community, health, ...). * Hybrid work model (remote/on\-site). * Flexible working hours. **Growth \& development** * Customized training: access to Coursera to learn whatever you want, whenever you want. * Weekly language classes (English \& German). * International Mentoring Sessions \& Experience Days. **Compensation \& benefits** * Flexible compensation plan (health insurance, meal vouchers, childcare, transport). * Telemedicine. * Life and accident insurance. * Social fund. **Wellbeing \& time off** * 26\+ working days of vacation per year. * Free access to specialist services (medical, legal, wellness). * 100% salary coverage during medical leave. And many more advantages of being part of T\-Systems! If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team! *T\-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.*
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
