Data Infrastructure Engineer
AI platform for creating, deploying, and managing full-stack software through natural-language interaction.
Maintainer signals as of 9/25/2026
Funding history
About Lovable
Lovable lets people describe an idea in plain language and collaboratively build production-grade software. Its platform includes hosting, authentication, payments, integrations, security features, and deployment infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and run production data infrastructure for millions of tenants. You will develop secure event ingestion, managed analytical storage, efficient query systems, and isolated runtimes for agent-written connectors. You will measure and reduce cost per tenant, expose data capabilities to agents, and maintain observability, freshness, and recovery.
Requirements
- Build and operate production-scale data systems
- Demonstrate deep experience in ingestion, storage formats and table layout, query execution, or orchestration
- Work across multiple data infrastructure layers
- Have experience with multi-tenant or untrusted workloads, isolation, noisy-neighbor mitigation, and cost control
- Exercise judgment on architecture, cost-latency tradeoffs, and scalability
- Work with AI agents end to end
- Own production systems
Responsibilities
- Build secure ingestion for events from millions of applications
- Build managed analytical storage with schema management, partitioning, and compaction
- Optimize query performance without dedicated warm compute per tenant
- Build isolated runtimes for agent-written connectors, including credentials, scheduling, retries, and state
- Measure and reduce cost per tenant through metering, limits, and workload isolation
- Expose data, metadata, and tools to the Lovable agent
- Operate systems with observability, freshness monitoring, and recovery
