AI SDLC Lead Engineer (m/f/d)
hace 4 días
Seville
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. • Define and lead AI-assisted SDLC patterns for repository intake, code exploration, service mapping, build diagnosis, documentation, and engineering evidence generation., • Guideanalysis of OpenStack-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, DevOps, and testing teams., • Produce senior stakeholder-ready artefacts including transition risks, service decomposition views, codebase maturity observations, and recommended engineering actions., • 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 DeepSeek Coder, Qwen/Qwen-Coder,CodeGeeX,StarCoder, Code Llama, Mistral, or similar modelsoperatedthrough approved controls., • Agentic and SDLC workflow components such asLangGraph, OpenAI Agents SDK,AutoGen,LlamaIndex, RAG pipelines, evaluation loops, and structured tool-calling patterns., • Engineering environments including GitHub Enterprise, GitLab, Jenkins,ArgoCD, Helm, Docker, Kubernetes, private package registries, and terminal-native automation workflows., • 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 OpenStack-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., • International,dynamicandcollaborativeenvironment., • T-Social: socialinitiatives(sports,community,health, ...)., • Hybridworkmodel(remote/on-site)., • Flexibleworkinghours., • Customizedtraining:accesstoCourseratolearnwhateveryouwant,wheneveryouwant., • Weeklylanguageclasses(English & German)., • InternationalMentoringSessions&ExperienceDays., • Flexiblecompensationplan (healthinsurance,mealvouchers,childcare,transport)., • Telemedicine., • Lifeandaccidentinsurance., • Socialfund., • 26+workingdaysof vacationperyear., • Freeaccesstospecialistservices(medical, legal,wellness)., • 100%salarycoverageduringmedicalleave. And many more advantages of being part of T-Systems! #J-18808-Ljbffr