AI Software Engineer / Agentic Handover Engineer

About the role

T-Systems Iberia is looking for an AI Software Engineer / Agentic Handover Engineer in Granada. The role uses AI-assisted software engineering methods to support technical due diligence and transition readiness: understanding complex codebases, reconstructing dependencies, diagnosing builds, accelerating documentation and improving handover readiness in enterprise cloud and platform environments. It focuses on analysing and evolving a cloud software stack derived from OpenStack.

Key responsibilities

• Analyse large software repositories to map services, dependencies, interfaces, build flows and technical risks.
• Reconstruct the architecture of an OpenStack-derived cloud stack, including service boundaries, integration points, APIs and operational dependencies.
• Use AI coding agents and structured prompting to speed up code understanding, reverse engineering and documentation.
• Support build-log diagnosis, compile issue triage and reproducibility analysis across CI/CD pipelines and container-based delivery.
• Produce handover artefacts such as architecture summaries, dependency maps, code quality observations and readiness assessments.
• Work with software architecture, DevOps, testing and security specialists to turn AI insights into engineering outputs.

Required profile

• 5+ years in software engineering, platform engineering or DevOps-oriented development, with recent hands-on work on LLM-enabled engineering workflows preferred.
• Strong coding skills in Python and at least one systems or backend language such as Java, Go, C, C++ or Rust.
• Experience with codebase exploration, reverse engineering, technical debt identification and engineering documentation.
• Comfortable working in high-accountability enterprise settings with strict confidentiality and quality expectations.

Required skills

• Git, CI/CD, container builds, Kubernetes-based delivery and software architecture analysis.
• Cloud platforms derived from OpenStack (Nova, Neutron, Cinder, Keystone, Glance) and Kubernetes integration patterns are strongly preferred.
• Expected familiarity with AI coding tools (Windsurf, Cursor, Claude Code, VS Code AI extensions) and coding models such as Claude Opus-class models.
• Expected familiarity with GitHub Enterprise, GitLab, Jenkins, ArgoCD, Helm, Docker and Kubernetes.

What we offer

• Hybrid work model and flexible working hours.
• Customised training via Coursera, weekly language classes (English and German), mentoring sessions and experience days.
• Flexible compensation plan covering health insurance, meal vouchers, childcare and transport, plus telemedicine, life and accident insurance and a social fund.
• 26+ working days of vacation per year and specialist access (medical, legal, wellness).