Founding Cloud Infrastructure Engineer
Clera
- Location
- Onsite (San Mateo, California)
- Employment
- Full-time
- Level
- Senior Level
About the role
Clera is an early-stage AI infrastructure company building a platform that helps organizations provide reliable, governed context to AI systems. This role involves designing and building the production cloud foundation from the ground up to support platform scaling.
Skills
Full job details
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.