Related skills
kubernetes iceberg graph databases lakehouse multi-tenant📋 Description
- Design and build platform services (APIs, infra, runtimes, ingestion) at scale
- Architect AI-ready context store across lakehouse with multimodal data
- Solve multi-tenant isolation and scaling for enterprise SaaS
- Define data contracts for ingestion, validation, processing, routing, storage, and serving
- Own shared infrastructure including lakehouse (Iceberg/Polaris), vector stores, graph DBs, and OLTP
- Drive technical standards via RFCs, architecture reviews, and documentation
🎯 Requirements
- 8+ years in platform engineering, infrastructure, or backend systems at a SaaS
- Experience building enterprise-scale distributed systems at scale
- Deep expertise in multi-tenant architectures and tenant isolation
- Strong Kubernetes, containerization, and cloud infra skills (AWS/GCP/Azure)
- Hands-on with distributed systems patterns—service mesh, event-driven, orchestration
- Track record delivering multi-quarter technical initiatives from concept to production
🎁 Benefits
- Ownership from day one with impactful projects
- Remote-first team across India, Australia, US
- Access to learning, conferences, and open-source work
- Equal opportunity employer with inclusive culture
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