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 integral team, guided by respect, integrity, and a passion for doing better every day. Job Description Key responsibilities Define and lead AI-assisted SDLC patterns for repository intake, code exploration, service mapping, build diagnosis, documentation, and engineering evidence generation. Guideanalysis of Open Stack-derived control-plane services, APIs, dependencies, integration flows, and build structures across multiple repositories and teams. Evaluate and operationalize AI development platforms, coding agents, and approved open-weight or Chinese coding model stacks for secure enterprise use cases. Establish human-in-the-loop controls, quality gates, prompt libraries, reusable review patterns, and evidence standards for AI-generated engineering outputs. Coach software engineers and platform specialists on safe, effective use of AI tools while coordinating with architecture, security, Dev Ops, and testing teams. Produce senior stakeholder-ready artefacts including transition risks, service decomposition views, codebase maturity observations, and recommended engineering actions. Examples of market tools, models, and SDLC platforms expected AI development environments such as Cursor, Windsurf, Claude Code, Continue, Cline, or VS Code-based extensions connected to enterprise-approved model endpoints. Open-source, open-weight, or Chinese coding-capable models such as Deep Seek Coder, Qwen/Qwen-Coder,



Code Gee X, Star Coder, Code Llama, Mistral, or similar modelsoperatedthrough approved controls. Agentic and SDLC workflow components such as Lang Graph, Open AI Agents SDK, Auto Gen, Llama Index, RAG pipelines, evaluation loops, and structured tool-calling patterns. Engineering environments including Git Hub Enterprise, Git Lab, Jenkins, Argo CD, Helm, Docker, Kubernetes, private package registries, and terminal-native automation workflows. Qualifications 8+ years in software engineering, platform engineering, or technical architecture roles, with proven ownership of complex engineering workstreams. Strong hands-on coding skills in Python plus at least one backend orsystemslanguage such as Go, Java, C, C++, or Rust. Deep practical experience using AI coding agents and LLM-enabled SDLC workflows for large codebases, technical documentation, and engineering acceleration. Good understanding of Open Stack-derived cloud software architectures, modular service decomposition, CI/CD, Kubernetes-based delivery, and platform operations. Able to lead senior engineers in ambiguous environments, challenge AI outputs, and convert incomplete evidence into structured, actionable engineering decisions. Comfortable working in high-accountability, confidentiality-sensitive enterprise programs where auditability, traceability, and sovereignty constraints are mandatory. Additional Information Whatdoweofferyou? T-Social: socialinitiatives(sports,community,health,...). Hybridworkmodel(remote/on-site). Flexibleworkinghours. Growth&development Weeklylanguageclasses(English & German). International Mentoring Sessions&Experience Days. Flexiblecompensationplan (healthinsurance,mealvouchers,childcare,transport). Socialfund. Wellbeing& time off 26+workingdaysofvacationperyear. And many more advantages of being part of T-Systems! #J-18808-Ljbffr

📌 Ai Sdlc Lead Engineer (M/F/D) (España)
🏢 T-Systems Iberia
📍 España