Senior Observability & AIOps Engineer

Lam Research; Villach; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Lam Research in Villach is seeking an Observability & AIOps Engineer to build the intelligence layer for real-time operational health. You will transform telemetry, logs, metrics, traces, and events into actionable insights that improve reliability and speed incident resolution.

You will design end-to-end observability across cloud, infrastructure, and applications, deploy pipelines, and collaborate with SRE, security, and platform teams to optimize signals and automate responses.

Qualifications

• Bachelor’s degree or higher with 12+ years of related experience, or 8+ years with a Master’s, or 5+ years with a PhD.
• 6+ years of experience in observability, monitoring, SRE, cloud operations, or AIOps.
• Hands-on experience with modern monitoring and observability platforms.
• Experience with distributed systems and cloud-native architectures.

Responsibilities

• Design 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.

Skills

Observability Engineering

AIOps

Service Reliability

Data Analysis

Incident Management

Systems Thinking

Automation

Root Cause Analysis

Customer Focus

Continuous Learning

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline

Master’s degree or PhD in a related field

Tools

OpenTelemetry

Kubernetes

Cloud-native architectures

Job description

Lam Research in Villach is seeking an Observability & AIOps Engineer to build the intelligence layer for real-time operational health. You will transform telemetry, logs, metrics, traces, and events into actionable insights that improve reliability and speed incident resolution.

You will design end-to-end observability across cloud, infrastructure, and applications, deploy pipelines, and collaborate with SRE, security, and platform teams to optimize signals and automate responses.