AI SWE / OpenStack Service Engineer (m/f/d)

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.

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

• 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.