Gcp Cloud Engineer jobs in United States
Senior AI Platform Architect: Scalable, Secure Infra
Virtusa
Discover more opportunities than anywhere else. Find more jobs nowCloud & AI Platform Operations Engineer - Remote
Job summary
A progressive tech company is looking for a Platform Operations Engineer to build and maintain scalable cloud infrastructure that supports high-performance AI workloads. Ideal candidates will have over 5 years of experience in DevOps or SRE, strong technical skills in AWS and GCP, as well as expertise in security and system performance. This role is pivotal in ensuring the reliability and security of AI infrastructure.
Qualifications
- 5+ years of experience in DevOps, SRE, or Platform Engineering.
- Strong experience with AWS, GCP, Docker, and cloud-native systems.
- Background in Google SRE-style operational excellence.
- Experience with high-throughput or ML/AI infrastructure.
- Strong understanding of security, observability, and system performance.
Responsibilities
- Design and maintain scalable cloud infrastructure on AWS and GCP.
- Manage containerized environments using Docker and orchestration tools.
- Operate and optimize AI inference systems (e.g. vLLM).
- Implement SRE best practices for reliability, monitoring, and incident response.
- Ensure strong security and compliance (SecOps) across systems.
- Support internal engineering teams with platform tooling and automation.
Skills
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.