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

T-Systems Iberia; Valencia; Híbrido; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Health insurance

Meal vouchers

Telemedicine

Employee wellbeing

Descripción de la vacante

T-Systems Iberia is seeking an experienced software engineering professional in Valencia to advance secure DevSecOps and platform engineering initiatives. You will analyze codebases, review dependencies, and leverage AI agents to accelerate reviews and remediation across large repositories.

The role requires strong Python plus experience in Go/Java/C/C++/Rust, cloud platforms, Kubernetes, Linux, and robust CI/CD practices.

Formación

• 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.

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

Code review

Herramientas

OpenStack

Kubernetes

Linux

GitLab

Docker

Descripción del empleo

Company Description

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.

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!