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

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 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.

Job Description

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!

T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.