Software Engineer, Platform

Build and operate high-throughput infrastructure for AI engineering workloads, including sandbox runtimes, schedulers, networking, and reliability systems. The role requires deep production infrastructure experience, systems programming expertise, and strong knowledge of orchestration and isolation.

About the job

Responsibilities

Design, build, and maintain systems that enable Lovable’s AI product.
Design and operate 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 scales without becoming a bottleneck.
Plan and implement network infrastructure and cloud strategy.
Identify and drive reliability improvements across engineering teams.
Design, ship, and own critical services and systems.

Requirements

Deep experience building and operating production infrastructure as a software engineer, systems engineer, site reliability engineer, or similar.
Ability to write clean, performant code and understand systems from the API layer through the runtime.
Familiarity with container orchestration and sandboxing beyond configuration-level usage.
Understanding of schedulers, runtimes, and isolation boundaries.
Strong proficiency in at least one systems-oriented language such as Go, Rust, or C++.
Track record designing services that handle high throughput and unpredictable load at a global technology company or scale-up.
Comfort navigating ambiguity and solving problems as they arise.
Ability to balance security, stability, and speed.
Based in Stockholm or willing to relocate.