Company Description T‐Systems is part of the Deutsche Telekom Group, with around 30.000 employees worldwide. We are one integral team, guided by respect, integrity, and a passion for doing better every day. Use AI coding agents to accelerate 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 while documenting false positives, residual risks, and required expert review. Support reproducible build and release validation by analysing logs, pipeline definitions, container images, package sources, artefact flows, and configuration assumptions. Collaborate with security, DevOps, architecture, and test specialists to ensure AI-assisted validation results are actionable and aligned with enterprise assurance expectations.

AI coding and review environments such as Cursor, Windsurf, Claude Code, Continue, Cline, Aider, or VS Code-based assistants connected to approved model endpoints. Open-source or Chinese coding-capable models such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or similar internally hosted models. Quality and security tooling such as SonarQube, Semgrep, Trivy, GitGuardian, Syft, Grype, dependency-check, Falco, SBOM tooling, and container/image scanners.

Engineering environments including GitLab,



GitHub Enterprise, Jenkins, Kubernetes, Helm, Docker, ArgoCD, package registries, Python tooling, and log analysis workflows. 5+ years in software engineering, secure development, DevSecOps, platform engineering, or quality-focused engineering roles. ~ Strong Python skills plus practical experience in at least one backend or systems language such as Go, Java, C, C++, or Rust. ~ Hands‐on experience with code review, vulnerability triage, dependency analysis, CI/CD inspection, container security, or software supply‐chain evidence generation. ~ Practical experience using AI coding assistants for code understanding, documentation, remediation proposals, test generation, or large‐repository review acceleration. ~ Good understanding of OpenStack‐derived cloud platforms, distributed services, Kubernetes, Linux, and enterprise build and release processes is strongly preferred. ~ T‐Social: social initiatives (sports, community, health, ...). Hybrid work model (remote/on‐site). Flexible working hours.

Customized training: access to Coursera to learn whatever you want, whenever you want. Weekly language classes (English & German). Flexible compensation plan (health insurance, meal vouchers, childcare, transport). Social fund. Free access to specialist services (medical, legal, wellness). ~

📌 Ai Swe / Code Quality Validation Engineer (M/F/D) (Valencia)
🏢 T-Systems Iberia
📍 Valencia