AI SWE Code Quality Validation Engineer (mfd)

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.

Qualifications :

• 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. 

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time