Site Reliability Engineer/ AI Data

A model development platform redefining how engineering drawings and supply chain intelligence move across the manufacturing ecosystem is seeking a Site Reliability Engineer to help build infrastructure with aerospace-grade reliability.

This role centers on designing resilient cloud environments that support mission-critical AI workloads while protecting sensitive U.S. customer data tied to complex industrial programs. You’ll own core U.S. operational infrastructure and collaborate with a global engineering organization delivering systems that must scale, perform, and remain continuously available.

The environment emphasizes GCP-first architecture, multi-cloud redundancy, and platform tooling that enables hundreds of developers and AI engineers to ship safely. This role will pair GCP features and national security compliance practices, to create a disciplined and growing Cloud/AI department with upward momentum.

Required Skills & Experience

• Strong production experience designing and operating Google Cloud Platform (GCP) infrastructure
• Infrastructure-as-Code expertise using Terraform to manage scalable, repeatable environments
• Deep Kubernetes experience operating highly available, resilient container platforms

Desired Skills & Experience

• Multi-cloud architecture supporting redundancy and regional isolation strategies
• Automated security testing, vulnerability scanning, and compliance enforcement within CI/CD pipelines
• Performance tuning, capacity planning, and disaster recovery engineering for distributed systems

Daily Responsibilities

• Hands-On Engineering: 70%
• Team Collaboration & Cross-Functional Work: 30%

Applicants must be currently authorized to work in United States on a full-time basis now and in the future.

Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment’s Employment Accommodation policy. Applicants need to make their needs known in advance.

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