Software Engineer, Platform (infrastructure)

Lovable Lovable · Coding AI · Stockholm, Sweden · Engineering

Software Engineer, Platform (Infrastructure) role focused on building and evolving the core software infrastructure for AI software engineering, including runtime environments for agentic workloads and high-throughput schedulers. The role emphasizes systems design, reliability, and scalability for AI products.

What you'd actually do

  1. Design, build and own the systems that makes AI engineering work for everyone.
  2. Design, build and maintain the systems that enable our AI product, such as:
  3. Gvisor-based runtime environment for running agentic workloads.
  4. A high-throughput sandbox scheduler across multiple cloud providers, built on deep understanding of the orchestration layer rather than off-the-shelf abstractions.
  5. Harden our infrastructure against failures, downtime, and slowdowns.

Skills

Required

  • systems mindset
  • building and operating production infrastructure
  • clean, performant code
  • understanding of runtime environments
  • container orchestration and sandboxing
  • deep understanding of schedulers, runtimes, and isolation boundaries
  • Go, Rust, C++
  • designing services that handle high throughput and unpredictable load
  • navigating ambiguity
  • solving problems
  • security, stability, and speed trade-offs

Nice to have

  • GCP
  • AWS
  • Modal
  • Kubernetes
  • Terraform

What the JD emphasized

  • core software
  • critical services and systems
  • AI product
  • agentic workloads
  • high-throughput sandbox scheduler
  • deep understanding of the orchestration layer
  • global tech company or scale-up

Other signals

  • building core software for AI software engineering
  • design, ship, and own critical services and systems that power Lovable
  • systems that enable our AI product
  • Gvisor-based runtime environment for running agentic workloads
  • high-throughput sandbox scheduler across multiple cloud providers