Job
In this role, you will design observability strategies, build telemetry pipelines, implement anomaly detection, and enhance operational visibility and system reliability in real-time.
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Job technologies
Your role in the 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.
Our expectations of you
Education
- 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 equivalent experience. 6+ years of experience with a B in observability, monitoring, SRE, cloud operations, or AIOps.
Qualifications
- Starkes Verständnis von Logs, Traces, Metriken, Events und Telemetrie-Pipelines.
- Vertrautheit mit Skript- und Automatisierungstechnologien.
- Knowledge of Kubernetes and cloud-native application architectures.
Experience
- Hands-on experience with modern monitoring and observability platforms.
- Experience with distributed systems and cloud-native architectures.
- Erfahrung in der Unterstützung von Unternehmensproduktionsumgebungen.
- 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.
What we offer
- This position will be filled 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
Topics you will work on
Job locations
About your employer
Villach
Lam Research Corporation has been one of the largest manufacturers of manufacturing machines for the semiconductor industry for over 30 years. The company has 6600 employees worldwide and branches in all of Asia, Europe, and North America.
- 250+ Employees
- 1980
- English
- Established Company
- Hybrid, Onsite
- Electronics, Automatization
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