Job Description
Job DescriptionAbout the Role
This is a founding, build-from-scratch Cloud Infrastructure Engineer role at an early-stage AI infrastructure startup serving regulated enterprise industries. You will own the full cloud infrastructure stack that powers a semantic platform for AI agents, making architectural decisions that will define 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 support a production-grade semantic platform.
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Own the full lifecycle of infrastructure decisions, from initial architecture through deployment and scaling.
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Establish best practices, standards, and tooling in an environment where none yet exist.
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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 operate database infrastructure, including relational and NoSQL systems at scale.
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Implement infrastructure security, networking, and access control across cloud environments.
What We're Looking For
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5 to 12 years of experience building and operating cloud infrastructure systems in production environments.
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Hands-on experience designing and deploying infrastructure-as-code using tools such as Terraform, CloudFormation, or Pulumi.
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Proven experience architecting and managing Kubernetes clusters or equivalent container orchestration platforms in production.
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Strong background with major cloud platforms, including AWS, GCP, or Azure, covering networking, storage, compute, and managed services.
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Track record of startup-speed execution and comfort building systems from scratch, rather than primarily maintaining existing infrastructure.
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Stable employment history with demonstrated ownership of end-to-end infrastructure projects.
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Experience with data pipeline or data infrastructure systems is a plus.
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Familiarity 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.
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Prior experience in early-stage or high-growth startup environments is a plus.
Location
On-site in San Mateo, California, United States. Visa sponsorship is available.