- Clera
- San Mateo, CA
- Full-Time
- 25 days ago
Founding Cloud Infrastructure Engineer.
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Founding Cloud Infrastructure Engineer: our view in 3 lines...
- The Role:This is a cloud infrastructure engineering role for someone building the infrastructure behind an enterprise AI platform for regulated industries.
- The Person:The person will design and build cloud infrastructure, own deployment and scaling, set standards and tooling, manage Kubernetes, and implement monitoring, database infrastructure, networking, and security.
- Requirements:The ideal candidate has 5+ years of hands-on experience, infrastructure-as-code with Terraform, CloudFormation, or Pulumi, Kubernetes, a major cloud platform, CI/CD pipelines, and observability tooling such as Prometheus or Datadog.
About the role
About the Role
This is a founding infrastructure engineering role at an early-stage enterprise AI platform startup, where you'll design and build cloud infrastructure entirely from scratch. You'll own architectural decisions end-to-end — from initial design through production — for a semantic platform serving highly regulated industries like insurance, banking, and healthcare. The choices you make here will shape how the company scales for years to come.
What You'll Do
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Design and build cloud infrastructure from the ground up to power an enterprise-grade semantic AI platform.
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Own the full infrastructure lifecycle, from architecture and deployment through scaling and ongoing operations.
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Establish foundational best practices, standards, and tooling in a greenfield environment.
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Build and maintain CI/CD pipelines and deployment automation systems.
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Architect and manage Kubernetes clusters and container orchestration platforms in production.
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Implement infrastructure monitoring, observability, and logging systems.
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Design and manage database infrastructure including relational and NoSQL systems at scale.
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Implement infrastructure security, networking, and access control.
What We're Looking For
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5+ years of hands-on experience building and operating cloud infrastructure systems in production environments.
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Proven experience designing and deploying infrastructure-as-code using tools such as Terraform, CloudFormation, or Pulumi.
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Strong experience architecting and managing Kubernetes or other container orchestration platforms in production.
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Deep familiarity with at least one major cloud platform (AWS, GCP, or Azure), including networking, storage, compute, and managed services.
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Experience building and maintaining CI/CD pipelines and deployment automation.
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Hands-on experience with observability and monitoring tooling (e.g., Prometheus, ELK, Datadog, or similar).
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Comfort making high-impact architectural decisions independently in an early-stage environment.
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Experience with data infrastructure or data pipeline systems is a plus.
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Background with knowledge graphs, semantic systems, or graph databases is a plus.
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Experience with ML infrastructure or AI/ML platform systems is a plus.
Location
On-site in San Mateo, California, United States. Visa sponsorship is available.
