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

Telekom; Granada; Híbrido; EUR 65.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Flexible working hours

26+ vacation days per year

Health insurance

Telemedicine

Life and accident insurance

Descripción de la vacante

T-Systems Iberia is seeking a Senior SWE with strong DevSecOps and AI-assisted code review skills to validate software security and integrity across complex codebases in Granada. You will analyze repositories for maintainability, security risks, and licensing signals, while using AI agents to accelerate reviews and draft remediation plans.

You will run quality, dependency, secret, container, and infrastructure scans, document outcomes, and prepare evidence packs linking findings to code

Formación

• 5+ years of experience in software engineering, secure development, DevSecOps, platform engineering, or quality-focused engineering roles.
• Strong Python programming skills.
• Hands-on experience with vulnerability triage, dependency analysis, CI/CD inspection, container security and software supply-chain evidence generation.

Responsabilidades

• Analyze 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.

Conocimientos

Python

Go

Java

C

C++

Rust

Code review

Vulnerability triage

Dependency analysis

CI/CD inspection

Container security

Software supply-chain

AI coding assistants

GitLab/GitHub Enterprise

Jenkins

Kubernetes

Herramientas

SonarQube

Semgrep

Trivy

GitGuardian

Syft

Grype

SBOM tooling

Descripción del empleo

Job ID: 744000142834900AI SWE / Code Quality Validation Engineer (m/f/d)GranadaProfessionalRegularT-Systems IberiaYour TaskThis role focuses on analyzing repositories and codebases for maintainability, security risks, and technical debt while leveraging AI coding agents to accelerate code review and validation processes. You will support due diligence activities by running quality and security scanning tools, validating build and release processes, and creating comprehensive evidence packs that document findings and risk assessments.Key ResponsibilitiesAnalyse repositories for maintainability, dependency risks, hidden coupling, insecure patterns, build fragility, licensing signals, and documentation gaps relevant to due diligenceUse AI coding agents to accelerate code review preparation, vulnerability explanation, remediation proposal drafting, and technical debt clustering across large codebasesRun and interpret quality, dependency, secret, container, and infrastructure scanning tools while documenting false positives, residual risks, and required expert reviewSupport reproducible build and release validation by analysing logs, pipeline definitions, container images, package sources, artefact flows, and configuration assumptionsCreate evidence packs that link findings to code locations, tool results, reviewer decisions, risk severity, mitigation options, and readiness implicationsCollaborate with security, DevOps, architecture, and test specialists to ensure AI-assisted validation results are actionable and aligned with enterprise assurance expectationsTools and PlatformsYou will work with AI coding and review environments such as Cursor, Windsurf, Claude Code, Continue, Cline, Aider, or VS Code-based assistants connected to approved model endpoints. You will utilize 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 includes SonarQube, Semgrep, Trivy, GitGuardian, Syft, Grype, dependency-check, Falco, SBOM tooling, and container/image scanners. Engineering environments include GitLab, GitHub Enterprise, Jenkins, Kubernetes, Helm, Docker, ArgoCD, package registries, Python tooling, and log analysis workflows.Your ProfileWe are seeking a highly skilled Software Engineer with extensive experience in secure development, DevSecOps, and platform engineering, combined with strong expertise in AI-assisted code review, vulnerability analysis, and software supply-chain security validation.Must Have Skills5+ years of experience in software engineering, secure development, DevSecOps, platform engineering, or quality-focused engineering rolesStrong Python programming skillsPractical experience in at least one backend or systems language such as Go, Java, C, C++, or RustHands-on experience with code reviewHands-on experience with vulnerability triageHands-on experience with dependency analysisHands-on experience with CI/CD inspectionHands-on experience with container securityHands-on experience with software supply-chain evidence generationPractical experience using AI coding assistants for code understanding, documentation, remediation proposals, test generation, or large-repository review accelerationAbility to analyze repositories for maintainability, dependency risks, hidden coupling, insecure patterns, build fragility, licensing signals, and documentation gaps relevant to due diligenceAbility to use AI coding agents to accelerate code review preparation, vulnerability explanation, remediation proposal drafting, and technical debt clustering across large codebasesAbility to run and interpret quality, dependency, secret, container, and infrastructure scanning tools while documenting false positives, residual risks, and required expert reviewAbility to support reproducible build and release validation by analyzing logs, pipeline definitions, container images, package sources, artifact flows, and configuration assumptionsAbility to create evidence packs that link findings to code locations, tool results, reviewer decisions, risk severity, mitigation options, and readiness implicationsAbility to collaborate with security, DevOps, architecture, and test specialists to ensure AI-assisted validation results are actionable and aligned with enterprise assurance expectationsComfortable producing concise, evidence-backed findings in high-accountability environments where confidentiality, auditability, and reviewer judgement are essentialExperience with AI coding and review environments such as Cursor, Windsurf, Claude Code, Continue, Cline, Aider, or VS Code-based assistants connected to approved model endpointsExperience with open-source or Chinese coding-capable models such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or similar internally hosted modelsExperience with quality and security tooling such as SonarQube, Semgrep, Trivy, GitGuardian, Syft, Grype, dependency-check, Falco, SBOM tooling, and container/image scannersExperience with engineering environments including GitLab, GitHub Enterprise, Jenkins, Kubernetes, Helm, Docker, ArgoCD, package registries, Python tooling, and log analysis workflowsNice to Have SkillsGood understanding of OpenStack-derived cloud platformsGood understanding of distributed servicesGood understanding of KubernetesGood understanding of LinuxGood understanding of enterprise build and release processesAbout UsT‑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.BenefitsFlexible compensation plan (health insurance, meal vouchers, childcare, transport)TelemedicineLife and accident insuranceSocial fund26+ working days of vacation per yearFree access to specialist services (medical, legal, wellness)100% salary coverage during medical leaveCompany PoliciesHybrid work model (remote/on-site)Flexible working hoursAdditional DetailsWork Environment & Flexibility:International, dynamic and collaborative environmentT-Social: social initiatives (sports, community, health, ...)Growth & Development:Customized training: access to Coursera to learn whatever you want, whenever you wantWeekly language classes (English & German)International Mentoring Sessions & Experience DaysApplication Information:Please send CV in English. T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.Job BenefitsWork-Life BalanceHybrid work model (remote/on-site)Flexible working hours26+ working days of vacation per yearHealth & InsuranceHealth insurance (flexible compensation plan)TelemedicineLife and accident insurance100% salary coverage during medical leaveOffice PerksMeal vouchers (flexible compensation plan)Childcare (flexible compensation plan)Transport (flexible compensation plan)Professional DevelopmentCustomized training: access to Coursera to learn whatever you want, whenever you wantWeekly language classes (English & German)International Mentoring Sessions & Experience DaysLifestyle & WellnessT-Social: social initiatives (sports, community, health)Free access to specialist services (medical, legal, wellness)Social fund