GCP / Sr. Staff DevOps Engineer / Remote / PST
Location
San Francisco, CA
Job Type
Full-time
Category
other-general
Posted
June 17, 2026
$188000 - $248000
A leading healthcare technology organization is hiring a Senior Staff Systems Design Engineer to join a growing cloud and AI platform team. This is a full-time role based in the United States with a focus on Google Cloud Platform, multi-cloud architecture, and enterprise AI systems leveraging tools such as Vertex AI, Kubernetes, and Terraform.
This is a high-impact opportunity to shape next-generation platform capabilities that support real-time, data-driven health solutions. The team is seeking a senior-level engineer who can architect complex systems, lead technical direction, and contribute to building scalable AI-driven platforms. This role offers strong visibility, the ability to mentor others, and the chance to work on advanced technologies that directly influence product innovation and performance.
Required Skills and Experience GCP expertise with production-level architecture experience Hands-on experience with Kubernetes and containerized...
A leading healthcare technology organization is hiring a Senior Staff Systems Design Engineer to join a growing cloud and AI platform team. This is a full-time role based in the United States with a focus on Google Cloud Platform, multi-cloud architecture, and enterprise AI systems leveraging tools such as Vertex AI, Kubernetes, and Terraform.
This is a high-impact opportunity to shape next-generation platform capabilities that support real-time, data-driven health solutions. The team is seeking a senior-level engineer who can architect complex systems, lead technical direction, and contribute to building scalable AI-driven platforms. This role offers strong visibility, the ability to mentor others, and the chance to work on advanced technologies that directly influence product innovation and performance.
Required Skills and Experience GCP expertise with production-level architecture experience Hands-on experience with Kubernetes and containerized...