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AI SDLC Lead Engineer (m/f/d)
AI Summary
Leads AI-assisted software development lifecycle initiatives, defining patterns for code exploration, build diagnosis, and engineering evidence generation while coaching engineers on safe AI tool usage.
About this role
AI SDLC Lead Engineer (m/f/d)
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.
Key responsibilities
- Define and lead AI-assisted SDLC patterns for repository intake, code exploration, service mapping, build diagnosis, documentation, and engineering evidence generation.
- Guide analysis 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 models operated through approved controls.
- Agentic and SDLC workflow components such as LangGraph, 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 or systems language 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
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.
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