Experteer Overview In this role you apply AI-enabled code review and analysis to large codebases to improve maintainability, security, and reliability. You collaborate with security, DevOps, architecture, and test specialists to produce actionable evidence packs that link findings to code, tool results, and risk. You drive reproducible build validation by examining logs, pipelines, and artifact flows, while documenting risks and remediation options. You work in a senior engineering environment that emphasizes enterprise assurance and continuous improvement, using AI copilots and industry tools to accelerate review and remediation.Compensaciones / Incentivos
- Analyse repositories for maintainability, dependency risks, hidden coupling, insecure patterns, build fragility, licensing signals, and documentation gaps
- Leverage AI coding agents to speed up code review preparation, vulnerability explanation, remediation proposal drafting,



and technical debt clustering across large codebases
- Run and interpret quality, dependency, secret, container, and infrastructure scanning tools; document false positives and residual risks; flag required expert review
- Support reproducible build and release validation by analysing logs, pipeline definitions, container images, package sources, artefact flows, and configuration assumptions
- Create evidence packs linking findings to code locations, tool results, reviewer decisions, risk severity, mitigation options, and readiness implications
- Collaborate with security, DevOps, architecture, and test specialists to ensure AI-assisted results are actionable and aligned with enterprise assurance expectationsResponsabilidades
- Requisitos principales
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📌 Ai Swe / Code Quality Validation Engineer (M/F/D) (Granada)
🏢 Deutsche Telekom
📍 Granada