{"id":768254,"url":"https://alion.io/job/qbees-werkstudent-aiops-engineer-wmd","title":"Werkstudent AiOps Engineer (w/m/d)","company":{"id":691926,"name":"qbees GmbH","domain":"qbees.io","url":"https://alion.io/company/qbees","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"intern","employment_type":"part_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Ansible","optional":true},{"name":"Grafana","optional":true},{"name":"llama.cpp","optional":true},{"name":"LLM","optional":true},{"name":"Loki","optional":true},{"name":"Ollama","optional":true},{"name":"OpenSearch","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"SIEM","optional":true},{"name":"Terraform","optional":true},{"name":"vLLM","optional":true},{"name":"Zabbix","optional":true}],"status":"live","first_seen_at":"2025-01-26T19:51:59Z","employer_posted_date":"2025-01-26","last_verified_at":"2026-11-03T14:21:21Z","board_verified":true,"closed_at":null,"days_open":646,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":646},"description":"Ihre Aufgaben\nMitarbeit beim Aufbau einer Private-AI-/On-Prem-KI-Umgebung (GPU-Server, Containerisierung, Deployment-Standards, Zugriffsmodelle).\n\nEvaluierung und Prototyping von lokaler Inference (z. B. LLMs/Embeddings) inkl. Dokumentation und Betriebskonzept (Runbooks/SoPs).\n\nEntwicklung erster AIOps-Use-Cases: z. B. Alarm-Korrelation, Log-Analyse, Anomalie-Erkennung, Ticket-Zusammenfassungen, Wissenssuche/RAG auf internen Dokus.\n\nIntegration in bestehende Toolchains (z. B. Monitoring/Alerting, GitLab, Automatisierung) und Mitarbeit an CI/CD-Standards.\n\nErstellung von Technik-Dokumentation, Lessons Learned und Vorschlägen für sichere Governance (Datenklassifizierung, Auditfähigkeit, Nachvollziehbarkeit).\n\nIhr Profil\nStudium (Informatik, IT-Security, Data/AI, Software Engineering o. ä.) und Lust auf Infrastruktur + Automatisierung.\n\nSolide Grundlagen in Linux, Netzwerken und Scripting (Python oder Bash).\n\nVerständnis für Container/Deployments (Docker, idealerweise Kubernetes) und sauberes Arbeiten mit Git.\n\nInteresse an Monitoring/Operations (z. B. Events, Logs, Metriken) und an zuverlässigen Systemen.\n\nSorgfältige, strukturierte Arbeitsweise - Compliance/Datenschutz ist bei uns kein Extra, sondern Standard.\n\nNice to have\nErste Berührung mit LLM-Inference lokal (z. B. vLLM, llama.cpp, Ollama) oder ML-Tooling.\n\nErfahrung mit Automatisierung/IaC (Ansible, Terraform) oder CI/CD (GitLab Pipelines).\n\nKenntnisse in Observability/Monitoring (z. B. Zabbix, Elastic/Opensearch, Loki, Grafana) oder Security-Stack (SIEM/EDR).\n\nGrundwissen zu RAG/Embeddings und Vektorsuche (z. 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