Company Description We are one global team, guided by respect, integrity, and a passion for doing better every day. 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.

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. 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 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.

T-Social: social initiatives (sports, community, health, ...). Hybrid work model (remote/on-site). Flexible working hours.

Customized training: access to Coursera to learn whatever you want, whenever you want. Weekly language classes (English & German). Adaptable compensation plan (health insurance, meal vouchers, childcare, transport). Social fund. Free access to specialist services (medical, legal, wellness).

📌 Development Technical Lead (Andalucía)
🏢 T-Systems International
📍 Andalucía