Founding Cloud Infrastructure Engineer

Clera; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity

Job summary

Clera is seeking a Founding Cloud Infrastructure Engineer in San Mateo, CA to design and own the cloud infra powering our semantic AI platform. This is a build-from-scratch role with significant foundational impact and equity potential.

The role requires 5+ years in production cloud infra, strong IaC, Kubernetes, and cloud platform experience. You will shape architecture, build pipelines, and drive security and observability in a greenfield environment.

Qualifications

• 5+ years designing and operating cloud infrastructure in production
• Hands-on IaC tools (Terraform, CloudFormation, or Pulumi)
• Experience architecting and managing Kubernetes clusters in production
• Deep experience with major cloud platforms (AWS, GCP, or Azure)
• Experience building and maintaining CI/CD pipelines
• Familiarity with observability and logging tools
• Experience designing database infrastructure at scale
• Strong security, networking, and access control background
• Comfort in early-stage environments, setting standards rather than following playbooks
• Nice to Have: data infra, graph databases, ML infra, startup experience

Responsibilities

• Design and build cloud infrastructure from the ground up to power a production-grade semantic AI platform
• Own the full lifecycle of infrastructure decisions from architecture to deployment and scaling
• Make foundational cloud decisions with long-term implications
• Establish best practices, standards, and tooling in a greenfield environment
• Build and maintain CI/CD pipelines and deployment automation
• Implement infrastructure monitoring, observability, and logging systems
• Design and manage database infra across relational and NoSQL systems at scale
• Implement infrastructure security, networking, and access control frameworks
• Collaborate with founding team to define scalable, secure foundations in a fast-moving startup environment

Skills

Cloud architecture

Kubernetes

IaC (Terraform/CloudFormation/Pulumi)

AWS/GCP/Azure

CI/CD

Observability tools

Security

Networking

Tools

Terraform

CloudFormation

Pulumi

Kubernetes

Prometheus/ELK/Datadog/New Relic

Job description

About the Role

We are a well-funded, early-stage company building an enterprise context layer that makes AI agents reliable, accurate, and secure for critical business operations in highly regulated industries such as insurance, asset management, banking, healthcare, and logistics. Our platform automatically builds a holistic domain model across enterprise data — mapping relationships, resolving conflicts, and delivering real-time, governed context to AI agents at runtime.

We're looking for a Founding Cloud Infrastructure Engineer to design, build, and own the cloud infrastructure powering our semantic platform. This is a build-from-scratch role — you won't be maintaining legacy systems. You'll be making foundational architectural decisions that shape the company for years to come.

What You'll Do

• Design and build cloud infrastructure from the ground up to power a production-grade semantic AI platform

• Own the full lifecycle of infrastructure decisions — from initial architecture through deployment and scaling

• Make foundational cloud infrastructure choices with long-term organizational implications

• Establish best practices, standards, and tooling in a greenfield environment

• Build and maintain CI/CD pipelines and deployment automation systems

• Implement infrastructure monitoring, observability, and logging systems

• Design and manage database infrastructure across relational and NoSQL systems at scale

• Implement infrastructure security, networking, and access control frameworks

What We're Looking For

Required (Dealbreakers):

• 5+ years designing and operating cloud infrastructure systems in production environments

• Hands-on experience with infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi

• Proven experience architecting and managing Kubernetes clusters or container orchestration platforms in production

Required Skills:

• Deep experience with at least one major cloud platform (AWS, GCP, or Azure) — including networking, storage, compute, and managed services

• Experience building and maintaining CI/CD pipelines and deployment automation

• Familiarity with observability and logging tools (e.g., Prometheus, ELK stack, Datadog, New Relic)

• Experience designing database infrastructure including relational and NoSQL systems at scale

• Strong security, networking, and access control implementation background

• Comfort operating in early-stage environments — setting standards, not following playbooks

Nice to Have:

• Experience building data infrastructure or data pipeline systems

• Familiarity with knowledge graphs, semantic systems, or graph databases

• Experience with machine learning infrastructure or AI/ML platform systems

• Prior founding or early-stage startup experience

Location

This role is based on-site in San Mateo, CA. Visa sponsorship is not available for this position.

Compensation & Benefits

Compensation details were not specified for this role. As a well-funded early-stage company, we offer competitive compensation including equity commensurate with a founding team member's impact and scope.

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