Job
- Level
- Senior
- Ort
- Villach
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du Observability-Strategien, baust Telemetrie-Pipelines, implementierst Anomalieerkennung und verbesserst so die Betriebssichtbarkeit und Systemzuverlässigkeit in Echtzeit.
Job Technologien
Deine Rolle im Team
- The group you'll be a part ofThe Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services.
- Together, we support users globally with data, information, and systems to achieve their business objectives.
- The impact you'll makeAs an Observability & AIOps Engineer, you will build the intelligence layer that enables enterprise systems and AI agents to understand operational health in real time.
- You will transform telemetry, logs, metrics, traces, and events into actionable operational insights that improve reliability, reduce downtime, and accelerate incident resolution.
- Your work will establish the foundation for autonomous operations by enabling AI agents to perceive, reason about, and respond to complex system behavior.
- What you'll doDesign and implement enterprise observability strategies across cloud, infrastructure, applications, and platforms.
- Build telemetry pipelines that ingest logs, metrics, traces, events, and topology information.
- Deploy and tune observability platforms to improve operational visibility and service reliability.
- Develop AIOps capabilities including anomaly detection, event correlation, noise reduction, and predictive insights.
- Partner with SRE, platform engineering, cybersecurity, and service operations teams to identify key operational signals.
- Create dashboards, service maps, operational scorecards, and SLO-driven reporting.
- Integrate observability data into AI agents, automation workflows, and operational platforms.
- Establish telemetry standards and observability engineering best practices.
- Drive continuous improvements in MTTD, MTTR, and service health monitoring.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 12+ years of related experience or 8+ years with a Master's degree or +5 years with a PhD or equivalant experience6+ years of experience with a B in observability, monitoring, SRE, cloud operations, or AIOps.
Qualifikationen
- Strong understanding of logs, traces, metrics, events, and telemetry pipelines.
- Familiarity with scripting and automation technologies.
- Knowledge of Kubernetes and cloud-native application architectures.
Erfahrung
- Hands-on experience with modern monitoring and observability platforms.
- Experience with distributed systems and cloud-native architectures.
- Experience supporting enterprise production environments.
- Preferred qualificationsExperience implementing OpenTelemetry.
- Experience working with AI-driven operations platforms.
- Experience with predictive analytics or machine learning for operations.
- Experience supporting SRE organizations and platform teams.
- Experience integrating observability data into automation platforms and AI solutions.
Unser Angebot
- This position will be occupied in Villach.
- It is subject to the Austrian Collective Bargaining Agreement for Employees in the Metal Technology Industry in occupation group G, depending on Education.
- A higher payment is negotiable depending on expertise and skills.
- The monthly salary is paid 14 times per year.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Lam Research AG
Villach
Die Lam Research Corporation ist ein langjähriger Führer auf dem Gebiet der Herstellung von Produktionsmaschinen für die Halbleiterindustrie. Das Unternehmen weltweit mit über 6600 Mitarbeitern und Standorten in Asien, Europa und Nordamerika.
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 1980
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Elektronik, Automatisation