Cloud Engineer

ASML

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Wilton, CT
Salary
$80,800–$111,100 / yr
Employment
Full-time
Posted
43 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $174k
This role $96k
$66k $222k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $142,400–$206,450 — the blue band above. At the midpoint, this role pays about $96k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About ASML

ASML is a leading supplier of lithography equipment, used by the world’s top chipmakers to print microchips that are increasingly powerful, fast and energy efficient.

ASML currently has 66 open roles on FindRole.

Listed pay typically runs $121,800–$173,500 across 52 roles with salary data.

Most-posted roles

View all roles at ASML

At a glance

TL;DR · Cloud Engineer

The Cloud Engineer joins the engineering and business teams to design, build, and optimize cloud-native applications and infrastructure. This role focuses on accelerating digital and AI transformation by architecting, deploying, and maintaining platforms on Google Cloud Platform. Key responsibilities include integrating AI/ML services, managing data pipelines, and performing systems hardening, patching, and performance tuning. The engineer will implement monitoring and logging using Splunk and native GCP services while driving CI/CD automation and Git-based workflows. Required technical skills include expertise in GCP (Compute, IAM, Networking, GCS, Cloud Build, GKE, AI Platform), Azure, Linux (RHEL/CentOS), and networking protocols. Proficiency in Python, Bash, Perl, and Ruby is essential for scripting. The position involves supporting complex distributed systems and AI/ML workflows to improve reliability and cloud cost efficiency.

What does a Cloud Engineer earn?

Median $152167 from 44 postings across 12 companies.

See salary data

What you'll do

  • Architect, deploy, and maintain GCP-based platforms including AI/ML services and data pipelines.
  • Build and support cloud-native applications through installation, patching, and performance tuning.
  • Implement monitoring, observability, and logging using Splunk and native GCP services.
  • Troubleshoot complex distributed systems using diagnostic tools and structured problem analysis.
  • Serve as Tier 1 and Tier 2 escalation for cloud and platform issues.
  • Drive CI/CD automation, Git-based workflows, and cloud release management.
  • Propose and implement improvements for system performance, reliability, and cloud cost efficiency.
  • Provision environments and automate workflows to support specific engineering use cases.

What we're looking for

  • You must be legally authorized to access controlled technology as defined in the U.S. Export Administration Regulations.
  • Bachelor’s degree in Computer Science, IT, or a related field is required.
  • Master’s degree is a plus.
  • You must have 2-3+ years of experience supporting large-scale software or cloud environments.
  • You must have expertise with Google Cloud Platform (Compute, IAM, Networking, GCS, Cloud Build, GKE, AI Platform).
  • You must have experience with Linux (RHEL/CentOS), Networking (TCP/IP, UDP), and CI/CD pipelines.
  • You must have scripting expertise in Python, Bash, Perl, or Ruby.
  • Work authorized in the United States without the need for employer sponsorship.

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