Staff / Principal Software Engineer, Platform
Summary
Build and maintain the core infrastructure and developer platform that powers an AI product, including Kubernetes-based runtimes and observability stacks, to keep engineering teams highly productive.
Location
Stockholm
Employment Type
Full time
Location Type
On-site
Department
Engineering
TL;DR: We’re seeking exceptional senior engineers and technical leaders for our Platform team, who own the infrastructure that powers Lovable's AI product and the developer experience that lets our engineering teams move at maximum velocity.
What we’re looking for
- 10+ years in platform, infrastructure, or developer experience engineering, with a track record operating at senior engineering levels.
- Deep experience building and operating in one or more of: production infrastructure, platform engineering, or developer experience (observability, CI/CD, application frameworks, productivity tooling).
- Strong proficiency in at least one systems-oriented language (Go, Rust, C++, or similar), with a track record of designing high-throughput services at scale — and/or experience writing code and tools to support growing engineering orgs in scale-ups.
- Solid working knowledge of Docker, Kubernetes, and modern infrastructure practices; ideally with understanding that goes deeper than configuration — how schedulers, runtimes, and isolation boundaries actually work.
- You ship high-leverage systems fast and know when to make trade-offs between security, stability, and speed.
- You’re comfortable navigating ambiguity and driving clarity at an organisational level, not just technically.
- You’re based in Stockholm or ready to relocate — this is an on-site, 5-days-a-week role.
What you’ll do
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
- Frontend: React and Typescript.
- Backend: Golang and Rust.
- Cloud: Cloudflare, GCP, AWS, Modal.
- Data: Clickhouse, Firestore, Spanner, BigQuery.
- DevOps Tooling: CI/CD pipelines, OTEL, Grafana, Kubernetes, Terraform.
- Local Tooling: Nix, DevEnv.
We treat all candidates equally.