Software Engineer Platform Infrastructure
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 design, build, maintain, and own the critical infrastructure systems that enable AI engineering workloads. You will develop a gVisor-based runtime environment and a high-throughput sandbox scheduler across multiple cloud providers. You will harden infrastructure against failures, downtime, and slowdowns; plan and implement network infrastructure and cloud strategy; and drive reliability improvements across engineering. You will ensure the infrastructure remains fast, stable, secure, and able to scale under unpredictable global load.
Requirements
- Demonstrate deep experience building and operating production infrastructure as a Software Engineer, Systems Engineer, Site Reliability Engineer, or similar.
- Write clean, performant code and understand systems from the API layer to the runtime.
- Understand container orchestration and sandboxing beyond configuration, including schedulers, runtimes, and isolation boundaries.
- Demonstrate strong proficiency in Go, Rust, C++, or a similar systems-oriented language.
- Demonstrate experience designing services for high throughput and unpredictable load at a global technology company or scale-up.
- Balance security, stability, and speed trade-offs.
- Be based in Stockholm or be ready to relocate for an on-site role five days per week.
Responsibilities
- Design, build, and maintain systems that enable the AI product.
- Develop a gVisor-based runtime environment for agentic workloads.
- Build a high-throughput sandbox scheduler across multiple cloud providers.
- Harden infrastructure against failures, downtime, and slowdowns.
- Ensure infrastructure does not become a bottleneck as usage grows.
- Plan and implement network infrastructure and cloud strategy.
- Identify and drive reliability improvements across engineering.