Staff / Principal Software Engineer, Platform

Lovable

Stockholms kommun

On-site

SEK 698,974 - 1,025,162

Full time

14 days+
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Job summary

Lovable is seeking a Staff / Principal Software Engineer for their Platform team in Stockholm. This role involves owning the infrastructure for Lovable's AI product and enhancing developer productivity through effective system design. Candidates should have 10+ years in platform engineering, with expertise in Docker, Kubernetes, and at least one systems-oriented language like Go or Rust. The position demands a solid understanding of modern infrastructure practices and offers a unique chance to impact software creation on a grand scale.

Qualifications

  • 10+ years in platform, infrastructure, or developer experience engineering.
  • Strong proficiency in systems-oriented languages like Go, Rust, or C++.
  • Solid working knowledge of Docker and Kubernetes.

Responsibilities

  • Design and maintain core systems enabling AI product.
  • Own and develop observability stack from code instrumentation to presentation.
  • Harden infrastructure against failures and downtime.

Skills

Platform engineering
Infrastructure engineering
Developer experience
Production infrastructure
Docker
Kubernetes
Systems-oriented language (Go, Rust, C++)

Tools

Cloudflare
GCP
AWS
Nix
DevEnv

Job description

Staff / Principal Software Engineer, Platform

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.

Why Lovable?

Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started.

We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.

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.

We're building with tools that both humans and AI love. Lovable platform engineers are capable of working across the whole stack. Examples of tech in our stack include:

Frontend: React and Typescript.

Backend: Golang and Rust.

Cloud: Cloudflare, GCP, AWS, Modal.

Data: Clickhouse, Firestore, Spanner, BigQuery.

Local Tooling: Nix, DevEnv.

And always on the lookout for what's next!


About your application

Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join.

We treat all candidates equally - if you’re interested, please apply through our careers portal.

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