AI-Driven Code Quality & Security Validation Engineer

T-Systems Iberia; Valencia; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Coursera training access

Weekly language classes (English &

Descripción de la vacante

T-Systems Iberia in Valencia is seeking an experienced engineer to enhance software security and DevSecOps across large codebases. You will leverage AI-assisted tools to review code, assess vulnerabilities, and cluster software supply-chain risks while collaborating with security, DevOps, architecture and testing teams.

The role requires deep Python proficiency and hands-on experience with backend languages (Go/Java/C/C++/Rust), container security, and CI/CD pipelines.

Formación

• 5+ years in software engineering, secure development, DevSecOps, platform engineering, or quality-focused roles.
• Strong Python skills plus practical experience in 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, Kubernetes, Linux, and enterprise build and release processes is strongly preferred.
• Capable of delivering concise, evidence-backed findings in high-accountability environments where confidentiality, auditability, and reviewer judgement matter.

Responsabilidades

• Analyse repositories for maintainability, dependency risks, hidden coupling, insecure patterns, build fragility, licensing signals, and documentation gaps.
• Use AI coding agents to accelerate code review prep, vulnerability explanations, remediation proposals, and debt clustering across large codebases.
• Run and interpret quality, dependency, secret, container, and infrastructure scans; document false positives and residual risks.
• Support reproducible build and release validation by analysing logs, pipelines, container images, and configuration assumptions.
• Create evidence packs linking findings to code locations, tool results, reviewer decisions, risk levels, and mitigations.
• Collaborate with security, DevOps, architecture, and test teams to ensure AI-assisted results are actionable and aligned with enterprise standards.

Conocimientos

Python

Go

Java

C

C++

Rust

Code review

Vulnerability triage

Dependency analysis

CI/CD

AI coding assistants

OpenStack

Kubernetes

Linux

Herramientas

SonarQube

Semgrep

Trivy

GitGuardian

Syft

Grype

Docker

Kubernetes

Jenkins

ArgoCD

GitLab

GitHub Enterprise

Descripción del empleo

T-Systems Iberia in Valencia is seeking an experienced engineer to enhance software security and DevSecOps across large codebases. You will leverage AI-assisted tools to review code, assess vulnerabilities, and cluster software supply-chain risks while collaborating with security, DevOps, architecture and testing teams.

The role requires deep Python proficiency and hands-on experience with backend languages (Go/Java/C/C++/Rust), container security, and CI/CD pipelines.