Staff Principal Software Engineer Platform
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, and maintain core systems supporting the AI product, including a gVisor-based runtime and a high-throughput sandbox scheduler across cloud providers. You will improve application frameworks, observability, infrastructure reliability, network and cloud strategy, and AI-driven development tooling.
Requirements
- 10+ years of platform, infrastructure, or developer experience engineering experience
- Experience building and operating production infrastructure, platform engineering, or developer experience systems
- Proficiency in a systems-oriented language such as Go, Rust, or C++
- Experience designing high-throughput services at scale or building tools for growing engineering organizations
- Working knowledge of Docker, Kubernetes, and modern infrastructure practices
- Ability to balance security, stability, and speed
- Based in Stockholm or ready to relocate
Responsibilities
- Design, build, and maintain core systems for the AI product, including a gVisor-based runtime and high-throughput sandbox scheduler
- Bring order and structure to the codebase and develop application frameworks
- Own and develop the observability stack from code instrumentation through ingestion and presentation
- Harden infrastructure against failures, downtime, and slowdowns
- Plan and implement network infrastructure and cloud strategy
- Integrate AI-driven development tools across the engineering organization
- Drive reliability improvement efforts across engineering teams