Observability & AIOps Engineer

The group you’ll be a part of The 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 group you’ll be a part of The 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 make As 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 Do

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.

Who We’re Looking For

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 experience

6+ years of experience with a B 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.

Strong understanding of logs, traces, metrics, events, and telemetry pipelines.

Familiarity with scripting and automation technologies.

Experience supporting enterprise production environments.

Preferred Qualifications

Experience 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.

Knowledge of Kubernetes and cloud-native application architectures.

Experience integrating observability data into automation platforms and AI solutions.

Core Competencies

Observability Engineering

AIOps

Service Reliability

Data Analysis

Incident Management

Systems Thinking

Automation

Root Cause Analysis

Customer Focus

Continuous Learning

What We're Offering 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.

Villach - a great place to live and work Follow the link www.welcome2villach.at and you will find on the spot the most important information about living, working and studying in and around Villach/Austria

Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

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