AI SDLC Lead Engineer

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

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 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. 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 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. 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 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. Additional Information Whatdoweofferyou?
- T‑Social: socialinitiatives(sports,community,health, ...).
- Hybridworkmodel(remote/on‑site).
- Flexibleworkinghours. Growth&development
- Weeklylanguageclasses(English & German).
- InternationalMentoringSessions&ExperienceDays.
- Flexiblecompensationplan (healthinsurance,mealvouchers,childcare,transport).
- Socialfund. Wellbeing& time off
- 26+workingdaysofvacationperyear. And many more advantages of being part of T-Systems T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.