Software Engineer - Infrastructure

Lovable; Jakarta Pusat; On-site; IDR 1,677,227,000 - 2,236,303,000; Full time

Job summary

Lovable is seeking a platform engineer to design and scale the infrastructure behind its AI software engineering platform. You will build and operate the lower stack to meet massive scaling demands, handling runtimes, multi-cloud scheduling, and security at speed.

Based in Stockholm or ready to relocate, this on-site role requires ownership, fast shipping, and collaboration with a small, high-velocity team.

Qualifications

• Deep experience building production infrastructure as a Platform Engineer, SRE or similar.
• Strong programming skills.
• Experience with service orchestration, networking, cloud infrastructure and scalable infrastructure practices.
• Based in Stockholm or ready to relocate – on-site, 5 days a week.
• Comfort navigating ambiguity and solving problems as they arise.
• Security, stability and speed – know when to trade-off between them.

Responsibilities

• Design, build and maintain the systems that enable Lovable's AI product.
• Create a secure and scalable runtime environment for AI workloads.
• Establish a high-throughput, multi-cloud sandbox scheduler.
• Harden infrastructure to minimize downtime and bottlenecks.
• Plan and implement network and cloud strategy.
• Drive reliability improvements across engineering teams.

Skills

Platform Engineer

SRE

Service orchestration

Networking

Cloud infrastructure

Programming

Ambiguity navigation

Security & performance trade-offs

Tools

Kubernetes

Terraform

Golang

Rust

GCP

AWS

Cloudflare

Modal

Clickhouse

BigQuery

Job description

TL;DR We’re looking for an exceptional platform engineer to design and scale the infrastructure behind the future of AI software engineering. You will build and operate the lower part of our stack, making sure that it meets the massive scaling demands of Lovable.

Why Lovable?

Lovable lets anyone and everyone build software with plain English. 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. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. 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

• Deep experience building production infrastructure as a Platform Engineer, Site Reliability Engineer or similar.

• You have deep experience with service orchestration, networking, cloud infrastructure and general modern scalable infrastructure practices from a global tech startup or scale-up.

• You have strong programming skills.

• You’re comfortable navigating ambiguity and solving problems as they arise.

• You care about security, stability, and speed and know when to make trade-offs between them.

• 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: Own and scale the platform that makes AI engineering work for everyone.

• Design, build and maintain the systems that enable our AI product, such as:

  • A runtime environment for running AI agent workloads in a secure and scalable way.

  • High throughput Sandbox scheduler across multiple cloud providers.

• Harden our infrastructure against failures, downtime, and slowdowns.

• Support our growth, make sure that our infrastructure never becomes a bottleneck.

• Plan and implement our network infrastructure and cloud strategy.

• Identify and drive reliability improvement efforts across all engineering teams.

Our tech stack

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.

• DevOps & Tooling: CI/CD pipelines, OTEL, kubernetes, terraform.

And always on the lookout for what's next!