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описание
T-Systems International provides business customers with system solutions for digital business. Its portfolio focuses on connectivity, digital solutions, cloud and infrastructure, and security to support digital transformation.
задачи
Support technical due diligence and handover readiness for OpenStack-derived cloud services within Project Meridian;
Analyze modular cloud software at the service level and reconstruct service boundaries and dependencies;
Analyze control-plane components, API interfaces, integration dependencies, configuration models, and runtime prerequisites;
Use AI-assisted software engineering methods to navigate large multi-repository codebases, reconstruct call chains, analyze interfaces, and create technical documentation;
Support the diagnosis of build and test issues, including dependency resolution, container builds, runtime configuration, and reproducibility;
Create structured handover artifacts, including service overviews, dependency documentation, API summaries, risk analyses, and onboarding documents;
Validate AI-assisted findings with DevOps, testing, security, and architecture experts;
Convert validated findings into actionable engineering backlog items;
Identify technical debt, maintainability risks, hidden coupling, and missing documentation;
Clearly distinguish AI suggestions from verifiable technical findings and document all results traceably.
требования
At least five years of professional experience in software development, cloud platform engineering, DevOps-oriented development, or technical software handover roles;
Very good Python skills and experience with at least one additional backend or systems programming language, such as Go, Java, C, C++, or Rust;
Solid practical experience with OpenStack-derived architectures, cloud control planes, distributed services, and API interfaces;
Experience with AI-assisted development tools for codebase exploration, technical documentation, refactoring support, or build problem analysis;
Good knowledge of CI/CD, container technologies, and Linux-based development and runtime environments;
Experience with Git and large multi-repository environments;
Understanding of service dependencies, configuration models, database usage, and operational runtime prerequisites;
Strong analytical skills for distinguishing AI-generated suggestions from verifiable technical findings;
Ability to create concise, structured, and traceable technical deliverables for engineering stakeholders;
Willingness to collaborate with DevOps, testing, security, and architecture teams in a confidential enterprise environment;
Nice to have: experience with OpenStack components and services such as Nova, Neutron, Cinder, Keystone, Glance, Horizon, Heat, or Placement; knowledge of message-bus technologies and Kubernetes integrations; experience with Docker, Kubernetes, Helm, and ArgoCD; knowledge of GitLab, Jenkins, API clients, log analysis tools, and dependency scanners; experience with AI coding agents and development environments such as Cursor, Windsurf, Claude Code, Cline, Continue, or AI extensions for VS Code; experience with programmable open-weight or enterprise models such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, or Mistral; experience creating service maps, API documentation, risk analyses, and structured handover or onboarding documents; knowledge of Infrastructure as Code, build and test automation, and reproducible development and deployment processes; experience with agile methods and converting technical findings into actionable backlog items.
условия
Flexible working hours;
Mobile working is available;
Individual training, conferences, and certifications in cloud, OpenStack, DevOps, and AI;
Competitive salary package and additional social benefits;
State-of-the-art tools and hardware;
Health and pension benefits;
Applications for vacancies outside Deutsche Telekom AG may be processed outside Deutsche Telekom AG in another European country, including applications for its subsidiaries;
Severely disabled people are given preference when equally qualified.