About the role
Job Description
Key responsibilities
* Analyse OpenStack-style services and surrounding components to map APIs, configuration flows, service dependencies, database usage, and operational assumptions. * Use AI coding agents to accelerate code navigation, call-flow reconstruction, interface analysis, and technical documentation across large multi-repository environments. * Support build and test diagnosis for selected services, including dependency resolution, container build issues, runtime configuration gaps, and reproducibility problems. * Create structured service handover artefacts such as service maps, dependency notes, API summaries, risk observations, and onboarding documents for receiving teams. * Work with DevOps, testing, security, and architecture specialists to validate AI-assisted findings and turn them into actionable engineering backlog items. * Identify technical debt, maintainability risks, hidden coupling, missing documentation, and areas where automated analysis should be complemented by expert review.
Examples of market tools, models, and SDLC platforms expected
* AI coding environments such as Cursor, Windsurf, Claude Code, Cline, Continue, or VS Code-based AI extensions for large-repository engineering workflows. * Coding-capable models such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or other approved open-weight and enterprise model stacks. * OpenStack-related components and patterns such as Nova, Neutron, Cinder, Keystone, Glance, Horizon, Heat, placement services, message buses, and Kubernetes integrations. * Supporting engineering tools such as Git, GitLab, Jenkins, Docker, Kubernetes, Helm, ArgoCD, Python tooling, API clients, log analysis tools, and dependency scanners.
Qualifications
* 5+ years in software engineering, cloud platform engineering, DevOps-oriented development, or technical software handover roles. * Strong Python skills plus experience in at least one backend or systems language such as Go, Java, C, C++, or Rust. * Practical experience using AI-assisted development tools for codebase exploration, documentation generation, refactoring support, or build issue triage. * Good understanding of OpenStack-derived architectures, cloud control planes, distributed services, APIs, CI/CD, container delivery, and Linux-based environments. * Strong analytical discipline for separating AI suggestions from evidence-backed findings and producing concise technical outputs for engineering stakeholders. * Comfortable working in confidential enterprise environments with high expectations on traceability, quality of documentation, and structured handover readiness.
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.