AI Software Engineer / Code Quality Validation Engineer (m/f/d) T Cloud Public

Job ID: 744000141712764

AI Software Engineer / Code Quality Validation Engineer (m/f/d) T Cloud Public

Budapest, Debrecen, Pécs, Szeged

Professional

Regular

Deutsche Telekom TSI Hungary Kft.

Your Task

This position focuses on trustworthy validation of large codebases to strengthen Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories. The candidate should use AI development platforms alongside static analysis, dependency scanning, build diagnostics, and expert review to identify risks in OpenStack-derived services, infrastructure code, integration scripts, and platform automation.

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

Your Profile

We are seeking a highly skilled AI-Assisted Software Engineering Specialist with extensive experience in software engineering, security validation, and code quality analysis. The ideal candidate should have strong technical expertise in multiple programming languages, hands-on experience with AI coding assistants, and deep knowledge of cloud platforms, DevSecOps practices, and software supply-chain security.

Must Have Skills

• 5+ years of experience in software engineering, secure development, DevSecOps, platform engineering, or quality-focused engineering roles
• Strong Python programming skills
• Practical experience in at least one backend or systems language such as Go, Java, C, C++, or Rust
• Hands-on experience with code review
• Hands-on experience with vulnerability triage
• Hands-on experience with dependency analysis
• Hands-on experience with CI/CD inspection
• Hands-on experience with container security
• Hands-on experience with software supply-chain evidence generation
• Practical experience using AI coding assistants for code understanding, documentation, remediation proposals, test generation, or large-repository review acceleration
• Comfortable producing concise, evidence-backed findings in high-accountability environments where confidentiality, auditability, and reviewer judgement are essential
• Experience 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
• Experience with open-source or Chinese coding-capable models such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or similar internally hosted models
• Experience with quality and security tooling such as SonarQube, Semgrep, Trivy, GitGuardian, Syft, Grype, dependency-check, Falco, SBOM tooling, and container/image scanners
• Experience with engineering environments including GitLab, GitHub Enterprise, Jenkins, Kubernetes, Helm, Docker, ArgoCD, package registries, Python tooling, and log analysis workflows

Nice to Have Skills

• Good understanding of OpenStack-derived cloud platforms
• Good understanding of distributed services
• Good understanding of Kubernetes
• Good understanding of Linux
• Good understanding of enterprise build and release processes

About Us

As Hungary's most attractive employer in 2025 (according to Randstad's representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries.

DT-ITS received the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

Company Policies

• Remote working is only possible from within Hungary due to European taxation regulations