Job Opportunities API

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. Mission Support technical due diligence and transition readiness by using AI-assisted software engineering methods to understand complex codebases, reconstruct dependencies, diagnose builds, accelerate documentation, and improve handover readiness in enterprise cloud and platform environments. A core objective of the role is to help analyse and evolve a cloud software stack derived from OpenStack, including its service decomposition, control-plane components, interfaces, and build structure. Role focus This position targets repository-scale code understanding, dependency discovery, build and compile diagnosis, technical documentation generation, and AI-assisted support for software handover activities in an enterprise setting. The candidate should be comfortable working with a modular cloud platform architecture based on OpenStack-style services and surrounding infrastructure components. Key responsibilities • Analyse large software repositories to map services, dependencies, interfaces, build flows, and technical risks relevant to technical due diligence. • Reconstruct the architecture of a cloud software stack derived from OpenStack, including key service boundaries, integration points, APIs, and operational dependencies. • Use AI coding agents and structured prompting patterns to accelerate code understanding, reverse engineering, and documentation generation across large codebases. • Support build-log diagnosis, compile issue triage, and reproducibility analysis across CI/CD pipelines and container-based delivery environments. • Produce structured handover artefacts including architecture summaries, dependency maps, code quality observations, and readiness assessments for receiving engineering teams. • Work closely with software architecture, DevOps, testing, and security specialists to convert AI-assisted insights into actionable engineering outputs. Examples of market tools and models expected • AI coding environments such as Windsurf, Cursor, Claude Code, or VS Code-based AI extensions for large-repository engineering workflows. • Frontier coding models such as Anthropic Claude Opus-class models and newer, high-capability coding models used through enterprise-approved interfaces or bring-your-own-key setups. • Supporting engineering tools such as GitHub Enterprise, GitLab, Jenkins, ArgoCD, Helm, Docker, Kubernetes, and terminal-native automation workflows. Familiarity with OpenStack-oriented cloud software environments and adjacent components such as Nova, Neutron, Cinder, Keystone, Glance, and Kubernetes integration patterns is highly valuable. • 5+ years in software engineering, platform engineering, or DevOps-oriented development roles, with recent hands-on work on LLM-enabled engineering workflows preferred. • Strong coding skills in Python plus experience in at least one systems or backend language such as Java, Go, C, C++, or Rust. • Solid understanding of Git, CI/CD, container builds, Kubernetes-based delivery, and software architecture analysis. • Experience with codebase exploration, reverse engineering, technical debt identification, and engineering documentation in complex environments. • Good working knowledge of cloud platform architectures derived from OpenStack, including modular service design and multi-component integration patterns, is strongly preferred. • Comfortable working in high-accountability enterprise settings with strong expectations on confidentiality, evidence quality, and structured deliverables. 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.