AI SWE / Code Quality Validation Engineer (m/f/d)

Key responsibilities

Analyse repositories for maintainability, dependency risks, hidden coupling, insecure patterns, build fragility, licensing signals, and documentation gaps relevant to due diligence.

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.

Create evidence packs that link 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 validation results are actionable and aligned with enterprise assurance expectations.

Examples of market tools, models, and SDLC platforms expected

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.

Comfortable producing concise, evidence-backed findings in high-accountability environments where confidentiality, auditability, and reviewer judgement are essential.

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.