Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Infrastructure Engineer (Data Platform): Building ingestion, analytical storage, query infrastructure, and agent-written connector runtimes for millions of small Lovable tenants with an accent on multi-tenant isolation, workload reliability, and cost-efficient data systems. Focus on designing ingestion and storage for constant small writes, executing fast queries without permanently warm compute, and operating production infrastructure with observability, freshness, and recovery.
Location: On-site in Stockholm or London
Company
Lovable is an AI software creation platform that enables people and businesses to build applications, with more than 60 million projects created since its launch.
What you will do
- Build ingestion infrastructure for events from millions of Lovable applications, isolating untrusted producers and preventing tenant interference.
- Develop managed analytical storage with schema management, partitioning, and compaction for continuous small writes.
- Improve query performance without keeping dedicated compute warm for every tenant.
- Build isolated runtimes for agent-written connectors, including credentials, scheduling, retries, and state management.
- Measure and reduce per-tenant costs through metering, limits, and workload isolation.
- Operate production systems with observability, freshness monitoring, and recovery capabilities.
Requirements
- Production experience building and operating data systems at scale.
- Deep expertise in at least one of ingestion, storage formats and table layout, query execution, or orchestration, with the ability to work across the other areas.
- Experience with multi-tenant or untrusted workloads, including isolation, noisy-neighbor prevention, and cost control.
- Strong judgment around abstractions, cost-latency tradeoffs, and designs that must scale by an order of magnitude.
- Experience working with AI agents end to end and owning systems in production.
- English is required for the application and company communication.
Culture & Benefits
- Small, talent-dense engineering organization with high ownership and fast execution.
- Low-ego collaboration and a focus on shipping reliable production systems.
- Engineering work is supported by tools used by both human developers and AI agents.
- Growing teams across Stockholm, London, Boston, New York, and San Francisco.
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