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.
