Secure Build, Release Engineer (m/f/d)

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.