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

T‑Systems is part of the Deutsche Telekom Group, with around 30.000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience.

We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.

Key responsibilities

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- Analyserepositories 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, andrequiredexpert review.

- Support reproducible build and release validation byanalysinglogs, 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

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- 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

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- 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 orsystemslanguage 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.

- Goodunderstanding 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.

Whatdoweofferyou?

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- T-Social: socialinitiatives(sports,community,health, ...).

- Hybridworkmodel(remote/on-site).

- Flexibleworkinghours.

Growth&development;

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- Weeklylanguageclasses(English & German).

- InternationalMentoringSessions&ExperienceDays.;

- Flexiblecompensationplan (healthinsurance,mealvouchers,childcare,transport).

- Socialfund.

Wellbeing& time off

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- 26+workingdaysofvacationperyear. xqbhyrx

And many more advantages of being part of T-Systems!

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📌 AI SWE / Code Quality Validation Engineer (m/f/d) (Granada)
🏢 T-Systems Iberia
📍 Granada