AI Software Engineer / OpenStack Service Engineer

• Analyze 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 artifacts 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

Tools and Platforms You Will Work With

• 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, If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English.

Company Policies

• T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer
• Comfortable working in confidential enterprise environments with high expectations on traceability, quality of documentation, and structured handover readiness, * Customized training: access to Coursera to learn whatever you want, whenever you want
• Weekly language classes (English & German)
• International Mentoring Sessions & Experience Days

We are seeking a highly skilled Cloud Platform Engineer with extensive experience in OpenStack architectures, AI-assisted development tools, and strong analytical capabilities for technical service analysis and handover documentation., * 5+ years of experience in software engineering, cloud platform engineering, DevOps-oriented development, or technical software handover roles

• Strong Python programming skills
• 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
• Experience with AI coding environments such as Cursor, Windsurf, Claude Code, Cline, Continue, or VS Code-based AI extensions for large-repository engineering workflows
• Experience with coding-capable models such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or other approved open-weight and enterprise model stacks
• Good understanding of OpenStack-derived architectures
• Good understanding of cloud control planes
• Good understanding of distributed services
• Good understanding of APIs
• Good understanding of CI/CD
• Good understanding of container delivery
• Good understanding of Linux-based environments
• Knowledge of OpenStack-related components and patterns such as Nova, Neutron, Cinder, Keystone, Glance, Horizon, Heat, placement services, message buses, and Kubernetes integrations
• Experience with supporting engineering tools such as Git, GitLab, Jenkins, Docker, Kubernetes, Helm, ArgoCD, Python tooling, API clients, log analysis tools, and dependency scanners
• Strong analytical discipline for separating AI suggestions from evidence-backed findings
• Ability to produce concise technical outputs for engineering stakeholders
• Comfortable working in confidential enterprise environments with high expectations on traceability, quality of documentation, and structured handover readiness

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, * Hybrid work model (remote/on-site)
• Flexible working hours
• 26+ working days of vacation per year

Office Perks

• Meal vouchers (part of flexible compensation plan)
• Childcare (part of flexible compensation plan)
• Transport (part of flexible compensation plan)

Health & Insurance

• Health insurance (part of flexible compensation plan)
• Telemedicine
• Life and accident insurance
• 100% salary coverage during medical leave

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.