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

T-Systems Iberia

Granada

Presencial

EUR 55.000 - 90.000

Jornada completa

Hace 9 días

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Ventajas ofrecidas por este puesto de trabajo

Hybrid work model
Flexible working hours
Health insurance

Descripción de la vacante

T-Systems Iberia is seeking an AI SWE / Code Quality Validation Engineer to join our Spain team. You will leverage AI tools to validate code quality and security across large codebases, delivering actionable findings for enterprise assurance.

Ideal candidates have 5+ years in software engineering, strong Python, and backend language experience (Go/Java/C/C++/Rust); you will collaborate with security, DevOps, and architecture to drive robust validation processes.

Formación

  • 5+ years in software engineering or related roles.
  • Strong Python skills and experience in at least one backend language (Go/Java/C/C++/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.

Responsabilidades

  • 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.

Conocimientos

Python
Go
Java
C
C++
Rust
CI/CD
Kubernetes
Linux
AI coding assistants

Herramientas

SonarQube
Semgrep
Trivy
GitGuardian
Syft
Grype
SBOM tooling
GitLab
GitHub Enterprise
Jenkins
Kubernetes
Docker
ArgoCD
Helm

Descripción del empleo

AI SWE / Code Quality Validation Engineer (m/f/d)
  • 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
  • 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
  • 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 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?
  • T-Social: socialinitiatives(sports,community,health, ...).
  • Hybridworkmodel(remote/on-site).
  • Flexibleworkinghours.
Growth&development
  • Weeklylanguageclasses(English & German).
  • InternationalMentoringSessions&ExperienceDays.
  • Flexiblecompensationplan (healthinsurance,mealvouchers,childcare,transport).
  • Socialfund.
Wellbeing& time off
  • 26+workingdaysofvacationperyear.

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

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