Senior Cloud Engineer
Introduction to the roleASML US, including its affiliates and subsidiaries, bring together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market, and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.Role and responsibilitiesThe Cloud Engineer designs, builds, and optimizes cloud‑native applications and infrastructure with a strong focus on Google Cloud Platform (GCP), automation, and AI-driven capabilities. You will collaborate with engineering and business teams to deliver scalable, secure, high‑performance solutions. This role blends software engineering, cloud architecture, and operational excellence to accelerate ASML’s digital and AI transformation.Architect, deploy, and maintain GCP-based platforms, integrating AI/ML services, data pipelines, and automated infrastructure.Build and support cloud-native applications, including installation, patching, performance tuning, and systems hardening.Implement monitoring, observability, and logging using tools such as Splunk and native GCP services.Troubleshoot complex distributed systems using diagnostic tools and structured problem analysis.Serve as Tier 1 / Tier 2 escalation for cloud and platform issues, ensuring fast resolution and clear communication.Drive CI/CD automation, Git-based workflows, and cloud release management.Propose and implement improvements to system performance, reliability, cloud cost efficiency, and developer experience.Ensure compliance with IT standards, security policies, and service-level requirements.Support engineering use cases by provisioning environments, automating workflows, and optimizing cloud resource utilization.Perform other duties as assigned.Education & ExperienceBachelor’s degree in Computer Science, IT, or related field; Master’s a plus.2-3+ years supporting large-scale software or cloud environments.Expertise with Google Cloud Platform (Compute, IAM, Networking, GCS, Cloud Build, GKE, AI Platform).Experience with Azure and hybrid cloud architectures.Strong background in:Linux (RHEL/CentOS)Networking (TCP/IP, UDP)CI/CD pipelines and DevOps toolsVersion control (Git/SVN)Application lifecycle tools (Jira, Confluence, Bitbucket)VM and storage management (NFS, SMB, ZFS, NAS)VMware and enterprise hardware environmentsScripting expertise: Python, Bash, Perl, Ruby.Familiarity with Agile/Scrum or SAFe methodologies.Experience supporting AI/ML workflows a plus (e.g., model deployment, GPU workloads, data or...