**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** Deliver AI\-assisted handover and due diligence support with added emphasis on automation, repeatability, evidence generation, and reusable workflow packaging across multiple engineering work packages. A central goal of the role is to create repeatable AI\-assisted workflows that help assess, document, and transition a cloud software stack derived from OpenStack. **Role focus** This second position complements Position A by emphasizing workflow engineering so that AI\-assisted code understanding can be reused consistently across repositories, teams, and technical assessment tasks. The role should help industrialize analysis of modular cloud software environments based on OpenStack\-style architecture and related CI/CD and integration flows. **Key responsibilities** * Build reusable AI\-assisted workflows for repository intake, code scanning, dependency extraction, build issue triage, and documentation generation. * Package prompts, retrieval steps, tool integrations, and evaluation logic into repeatable engineering patterns suitable for enterprise delivery. * Create workflow accelerators that support the analysis and handover of a cloud software stack derived from OpenStack, including service mapping, control\-plane understanding, and cross\-component dependency views. * Help define quality gates for AI\-assisted outputs, including traceability, explainability, approval points, and human\-in\-the\-loop controls. * Partner with technical PMO and work\-package leads to produce evidence packs that support decisions, risks, and transition readiness views. * Improve throughput of technical due diligence activities without compromising engineering quality, auditability, or confidentiality constraints.\[ **Examples of market tools and workflow frameworks expected** * Agentic workflow frameworks such as LangGraph, OpenAI Agents SDK, AutoGen, CrewAI, LlamaIndex Workflows, or similar orchestration stacks. * Tool integration and agent control patterns such as memory, tool calling, structured retries, fallback logic, evaluation loops, and human\-in\-the\-loop review stages. * Supporting components such as vector databases, retrieval layers, observability tooling, and API/service wrappers that allow workflows to operate across code, documents, and engineering evidence. * Engineering workflows that can operate across OpenStack\-related repositories, CI/CD systems, architecture metadata, test outputs, and service dependency graphs are especially relevant. **Qualifications** * 5\+ years of engineering experience with strong delivery discipline and comfort operating across software, DevOps, and documentation boundaries. * Hands\-on background in Python, APIs, orchestration frameworks, and developer tooling. * Practical experience with AI systems in production, especially RAG, evaluation pipelines, tool use, prompt workflows, and observability. * Strong written communication skills for producing concise engineering evidence and handover outputs for senior stakeholders. * Ability to work in ambiguous environments and translate partial technical evidence into structured findings and recommendations. * Familiarity with modular cloud software stacks derived from OpenStack, or similarly complex multi\-service infrastructure platforms, is strongly preferred. **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
