Founding Cloud Infrastructure Engineer

Clera · remoteRemotelead

In short

▸Ingeniero de Infraestructura en etapa inicial, creando desde cero la nube para una plataforma de IA semántica.
▸Diseño, implementación y operación de infraestructura en AWS/GCP/Azure, incluyendo Kubernetes, CI/CD, seguridad y observabilidad.
▸Rol fundador con impacto a largo plazo: decisiones arquitectónicas clave en una empresa en crecimiento.

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What they ask for

✓5+ años en infraestructura en la nube en entornos productivos
✓Experiencia comprobada con herramientas de infraestructura como código (Terraform, CloudFormation, Pulumi)
✓Arquitectura y gestión de clústeres Kubernetes o plataformas de orquestación de contenedores
✓Experiencia profunda en al menos una nube principal (AWS, GCP, Azure)
✓Construcción y mantenimiento de pipelines CI/CD y automatización de despliegues
✓Implementación de seguridad, redes y controles de acceso en infraestructura

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TerraformCloudFormationPulumiAWSGCPAzureKubernetesCI/CDPrometheusELK stack

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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. , 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. 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. Find more English Speaking Jobs in Germany on Arbeitnow

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