In one sentence: We build and own the systems and developer platform that make AI engineering work and keep our engineering teams the most productive in the world.
- Design, build and maintain the core systems that enable our AI product, including a gVisor-based runtime for agentic workloads and a high-throughput sandbox scheduler across multiple cloud providers.
- Bring order and structure to our codebase; integrate or build application frameworks to support a growing engineering organisation.
- Own and develop our observability stack, from code instrumentation through ingestion to presentation.
- Harden our infrastructure against failures, downtime, and slowdowns — ensuring it never becomes a bottleneck to growth.
- Plan and implement our network infrastructure and cloud strategy.
- Integrate tools for AI-driven development across the engineering org.
- Identify and drive reliability improvement efforts across all engineering teams.
Our tech stack
We're building with tools that both humans and AI love. Lovable platform engineers are capable of working across the whole stack. Examples of tech in our stack include:
- Frontend: React and Typescript.
- Backend: Golang and Rust.
- Cloud: Cloudflare, GCP, AWS.
- Data: Clickhouse, Firestore, Spanner, BigQuery.
- DevOps Tooling: CI/CD pipelines, OTEL, Grafana, kubernetes, terraform.
- Local Tooling: Nix, DevEnv.
And always on the lookout for what's next!