6 часов назад
Cloud Infrastructure Engineer (AI Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Cloud Infrastructure Engineer (AI Infrastructure): Building a production-grade cloud infrastructure stack for a semantic platform powering AI agents with an accent on Kubernetes, infrastructure as code, CI/CD automation, and scalable data systems. Focus on designing cloud architecture from scratch, operating production container platforms, and implementing security, observability, networking, and access control for regulated enterprise environments.
Location: On-site in San Mateo, California, United States
Company
is an early-stage AI infrastructure startup building a semantic platform for AI agents in regulated enterprise industries.
What you will do
- Design and build production-grade cloud infrastructure for the semantic AI platform.
- Own infrastructure architecture decisions from initial design through deployment and scaling.
- Establish infrastructure standards, best practices, tooling, and deployment automation.
- Build and maintain CI/CD pipelines and manage production Kubernetes clusters.
- Implement monitoring, observability, logging, security, networking, and access control.
- Design and operate relational, NoSQL, and other data infrastructure at scale.
Requirements
- 5–12 years of experience building and operating production cloud infrastructure.
- Hands-on infrastructure-as-code experience with Terraform, CloudFormation, or Pulumi.
- Production experience architecting and managing Kubernetes or equivalent container orchestration platforms.
- Strong experience with AWS, GCP, or Azure, including networking, storage, compute, and managed services.
- Demonstrated ownership of end-to-end infrastructure projects and stable employment history.
- Ability to work on-site in San Mateo, California, United States.
Nice to have
- Experience with data pipeline or data infrastructure systems.
- Familiarity with knowledge graphs, semantic systems, or graph databases.
- Experience with ML infrastructure or AI/ML platform systems.
- Experience in early-stage or high-growth startup environments.
Culture & Benefits
- Founding role with the opportunity to build infrastructure from scratch.
- High ownership over architectural decisions that will shape long-term company scaling.
- Startup-speed execution in an early-stage environment.
- Visa sponsorship is available.
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