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
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
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Analyse large software repositories to map services, dependencies, interfaces, build flows, and technical risks relevant to technical due diligence.
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Reconstruct the architecture of a cloud software stack derived from OpenStack, including key service boundaries, integration points, APIs, and operational dependencies.
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Use AI coding agents and structured prompting patterns to accelerate code understanding, reverse engineering, and documentation generation across large codebases.
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Support build-log diagnosis, compile issue triage, and reproducibility analysis across CI/CD pipelines and container-based delivery environments.
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Produce structured handover artefacts including architecture summaries, dependency maps, code quality observations, and readiness assessments for receiving engineering teams.
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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
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AI coding environments such as Windsurf, Cursor, Claude Code, or VS Code-based AI extensions for large-repository engineering workflows.
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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.
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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.
Qualifications
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5+ years in software engineering, platform engineering, or DevOps-oriented development roles, with recent hands-on work on LLM-enabled engineering workflows preferred.
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Strong coding skills in Python plus experience in at least one systems or backend language such as Java, Go, C, C++, or Rust.
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Solid understanding of Git, CI/CD, container builds, Kubernetes-based delivery, and software architecture analysis.
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Experience with codebase exploration, reverse engineering, technical debt identification, and engineering documentation in complex environments.
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Good working knowledge of cloud platform architectures derived from OpenStack, including modular service design and multi-component integration patterns, is strongly preferred.
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Comfortable working in high-accountability enterprise settings with strong expectations on confidentiality, evidence quality, and structured deliverables.
Additional Information
What do we offer you?
Work environment & flexibility
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International, dynamic and collaborative environment.
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T-Social: social initiatives (sports, community, health, ...).
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Hybrid work model (remote/on-site).
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Flexible working hours.
Growth & development
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Customized training: access to Coursera to learn whatever you want, whenever you want.
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Weekly language classes (English & German).
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International Mentoring Sessions & Experience Days.
Compensation & benefits
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Flexible compensation plan (health insurance, meal vouchers, childcare, transport).
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Telemedicine.
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Life and accident insurance.
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Social fund.
Wellbeing & time off
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26+ working days of vacation per year.
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Free access to specialist services (medical, legal, wellness).
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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.
