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.
Remote Work :
No
Employment Type :
Full-time
Experience: years Vacancy: 1
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AI SWE OpenStack Service Engineer (mfd) • Granada, Andalucía, Spain