About this role
About the Role
Join an early-stage AI infrastructure team as its founding cloud infrastructure engineer. You will build the production cloud foundation for a platform that helps organizations provide reliable, governed context to AI systems.
What You'll Do
- Design and build cloud infrastructure from the ground up, taking systems from initial architecture through deployment and scale.
- Make foundational decisions about cloud architecture and establish infrastructure standards and best practices.
- Build and operate Kubernetes-based infrastructure and infrastructure-as-code solutions.
- Develop CI/CD pipelines, deployment automation, monitoring, observability, and logging systems.
- Design and maintain secure cloud networking, access controls, and database infrastructure.
What We're Looking For
- Approximately 5 to 12 years of experience, including at least 5 years building and operating production cloud infrastructure.
- Hands-on experience with AWS, GCP, or Azure, including networking, storage, compute, and managed services.
- Production experience architecting and managing Kubernetes or other container orchestration platforms.
- Experience implementing infrastructure as code with Terraform, CloudFormation, Pulumi, or similar tools.
- Background building and operating cloud or data infrastructure, with experience in CI/CD, observability, security, and access control.
- Experience designing database infrastructure for relational and NoSQL systems at scale.
- Comfort making architectural decisions and building from scratch in an early-stage or high-growth environment, with a stable employment history.
- Experience with data pipelines, knowledge graphs, graph databases, or AI and machine learning infrastructure is beneficial.
- Seeking full-time employment.
Compensation & Benefits
Visa sponsorship is available.
Location
On-site in San Mateo, California, United States.