AI SWE / Code Quality Validation Engineer (m/f/d) Full-time 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 general team, guided by respect, integrity, and a passion for doing better every day. Key responsibilities Analyserepositories for maintainability, dependency risks, hidden coupling, insecure patterns, build fragility, licensing signals, and documentation gaps relevant to due diligence. Use AI coding agents to accelerate code review preparation, vulnerability explanation, remediation proposal drafting, and technical debt clustering across large codebases. Run and interpret quality, dependency, secret, container, and infrastructure scanning tools while documenting false positives, residual risks,



andrequiredexpert review. Support reproducible build and release validation byanalysinglogs, pipeline definitions, container images, package sources, artefact flows, and configuration assumptions. Create evidence packs that link findings to code locations, tool results, reviewer decisions, risk severity, mitigation options, and readiness implications. Collaborate with security, Dev Ops, architecture, and test specialists to ensure AI-assisted validation results are actionable and aligned with enterprise assurance expectations. Examples of market tools, models, and SDLC platforms expected AI coding and review environments such as Cursor, Windsurf, Claude Code, Continue, Cline, Aider, or VS Code-based assistants connected to approved model endpoints. Open-source or Chinese coding-capable models such as Deep Seek Coder, Qwen/Qwen-Coder, Code Gee X, Star Coder, Code Llama, Mistral, or similar int

📌 Ai swe (Madrid)
🏢 T-Systems Iberia
📍 Madrid