Company Description
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.
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.
Summary
Define and lead AI-assisted SDLC patterns for intake, code exploration, build diagnosis, and documentation across OpenStack-derived services. Evaluate coding agents and open-weight models with quality gates and auditability. Requires 8+ years in software or platform engineering and hands-on Python plus Go, Java, C, C++, or Rust.
Responsibilities
Define and lead AI-assisted SDLC patterns; Guide analysis of OpenStack-derived services, APIs, dependencies; Evaluate AI platforms and coding agents; Establish human-in-the-loop controls and quality gates; Coach engineers; Produce stakeholder-ready artefacts
Qualifications
Strong hands-on coding in Python plus Go, Java, C, C++, or Rust; Experience using AI coding agents and LLM-enabled SDLC workflows; Understanding of OpenStack-derived architectures, service decomposition, CI/CD, Kubernetes; Able to lead senior engineers; Comfortable in high-accountability, confidentiality-sensitive programs
Experience requirements
8+ years in software engineering, platform engineering, or technical architecture roles, with proven ownership of complex engineering workstreams
How to apply
Send CV in English
Benefits
Flexible compensation plan (health insurance, meal vouchers, childcare, transport); Telemedicine; Life and accident insurance; 26+ working days vacation; Flexible working hours; Coursera training; Language classes