Observability & AIOps Engineer

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams' achievements. We strive to create an inclusive and diverse culture where everyone's contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they're inspired to unleash the power of innovation for a better world together, anything is possible.

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 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.

• Wellbeing: Programs designed to support your individual needs, help you achieve personal goals, and incentivize you with rewards
• Stock: Discounted employee stock purchase program
• Parental Bonding: 16 weeks fully paid bonding leave for all new parents
• Recognition: Peer-to-peer award program designed to recognize excellence and celebrate success
• Pension: Annual pension contribution that increases with tenure

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