Senior Cloud Engineer

ASML•Wilton, CT

1d•Onsite

About The Position

The Senior 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.

Requirements

Bachelor’s degree in Computer Science, IT, or related field; Master’s a plus.
5+ 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 tools
Version control (Git/SVN)
Application lifecycle tools (Jira, Confluence, Bitbucket)
VM and storage management (NFS, SMB, ZFS, NAS)
VMware and enterprise hardware environments
Scripting 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 orchestration).
Strong analytical thinking, initiative, and problem-solving ability.
Effective communicator with strong customer and stakeholder focus.
Proactive, organized, and detail-oriented.
Practical mindset with the ability to assess decisions from a user-impact perspective.
Collaborative team player with high motivation and ownership.

Nice To Haves

Master’s degree a plus.
Experience supporting AI/ML workflows a plus (e.g., model deployment, GPU workloads, data orchestration).

Responsibilities

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.