Related skills
kubernetes iceberg graph databases lakehouse multi-tenant📋 Description
- Design and build platform services: APIs, infra components, runtimes, and ingestion at scale
- Architect the context store turning lakehouse into AI-ready systems (structured, unstructured, vector, graph)
- Solve complex multi-tenant isolation and scaling problems for enterprise SaaS
- Design data contracts for ingestion, validation, processing, routing, storage, and serving
- Own critical shared infrastructure including lakehouse (Iceberg/Polaris), vector stores, graph DBs, and OLTP
- Debug distributed systems across Kubernetes, workflow orchestration, and microservices
🎯 Requirements
- 8+ years in platform engineering, infrastructure, or backend systems at a SaaS company
- Experience building enterprise-scale distributed systems at scale
- Deep expertise in multi-tenant architectures and tenant isolation
- Strong Kubernetes, containerization, and cloud infrastructure skills (AWS/GCP/Azure)
- Hands-on experience with distributed systems patterns—service mesh, event-driven architecture, orchestration
- Track record of driving multi-quarter technical initiatives from concept through production at scale
🎁 Benefits
- Ownership from Day One on impactful projects
- Limitless opportunities for growth
- A Global Data Community: open-source, meetups, learning opportunities
- Fully remote company with teams across 15+ countries
- We are an equal opportunity employer
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