At a glance
- Employment
- Full-time
- Workplace
- Onsite
- Location
- Stockholm · London
About the role
- Build the data infrastructure the Lovable agent runs on, focusing on ingestion, storage, and query for millions of small tenants.
- Join the Data Platform team where your work decides whether apps built on Lovable can rely on their data.
Responsibilities
- Build ingestion that accepts events from millions of Lovable apps, treats every producer as untrusted, and keeps one tenant's bad traffic from slowing or corrupting another's data.
- Build managed analytical storage for every user, including schema management, partitioning, and compaction of a constant stream of small writes.
- Make queries fast when you can't keep compute warm for every tenant.
- Build the runtime for agent-written connectors: isolated execution, credentials, scheduling, retries and state.
- Make cost per tenant measurable, then drive it down, through metering, limits and workload isolation.
- Expose data, metadata and tools to the Lovable agent so it can build software on customers' data.
- Run what you build, including observability, freshness and recovery.
Requirements
- Have built and run data systems in production at scale.
- Deep experience in at least one layer (ingestion, storage formats and table layout, query execution, or orchestration), and the range to work across the others.
- Experience with multi-tenant or untrusted workloads: isolation, noisy neighbours, and keeping cost per tenant low.
- Good judgment on calls no one can check for you: the right abstraction, the tradeoff between cost and latency, whether a design holds at 10x.
- Work with AI agents end to end.
- Ship, and own what you ship in production.
Skills
- Go
- Rust
- Python
- SQL
- ClickHouse
- BigQuery
- Parquet
- Pub/Sub
- Temporal
- GCP
- Cloudflare
- AWS
Show all 15 skills
- GitHub Actions
- Grafana
- Terraform
