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Lovable

Software Engineer, Platform (Enterprise)

Posted 3 Days Ago
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In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
Build and maintain the cloud-agnostic platform enabling enterprise deployments of Lovable across AWS, Azure, and Google Cloud. Design secure sandboxing, networking, identity, and runtime systems; work with customers and cloud providers to solve infrastructure challenges; improve internal platform tooling to accelerate feature delivery; define long-term enterprise architecture.
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TL;DR

We're looking for an exceptional software engineer to help build the platform that powers Lovable Enterprise.

Enterprise adoption is growing rapidly, and we're building the infrastructure that allows customers to deploy Lovable securely across AWS, Azure, and Google Cloud.

From sandboxing and networking to cloud architecture and identity, you'll build the systems that make enterprise deployments possible.

Why Lovable?

Lovable lets anyone build software using natural language. Millions of people already use Lovable to transform ideas into real products in minutes.

Enterprise adoption is accelerating rapidly. Since launching our Enterprise offering, we've onboarded customers ranging from fast-growing startups to some of the world's largest companies, and we're only getting started.

To support that growth, we're building the infrastructure that makes enterprise deployments possible across every major cloud provider. Everything we build is designed to be flexible, secure, and cloud-agnostic, giving customers the freedom to deploy Lovable however they need.

You'll join a small, high-performing team with ownership over one of the most important parts of the company as we define the future of enterprise AI software.

What we're looking for

We're looking for a software engineer with strong infrastructure and platform engineering experience.

You'll likely have:

  • Experience building backend infrastructure or platform systems.

  • Experience building enterprise products or working in regulated environments. Experience with Bring Your Own Cloud (BYOC) deployments is especially valuable.

  • Strong understanding of cloud infrastructure across at least one of AWS, Azure, or Google Cloud and how to configure them securely

  • Strong programming skills in Go, Rust, Java, C++, or similar.

  • Experience working with infrastructure as code and Kubernetes

  • Broad knowledge across networking, databases, distributed systems, security

  • Experience building secure, reliable systems that operate under demanding production workloads.

  • A product mindset—you care about the people using the systems you build.

We're less interested in traditional DevOps experience and more interested in engineers who enjoy building software that powers infrastructure.

What you'll do

In one sentence:

Build the enterprise platform that enables customers to run Lovable securely and at scale.

Examples include:

  • Build the infrastructure powering enterprise deployments across AWS, Azure, and Google Cloud.

  • Work closely with enterprise customers and cloud providers to solve complex infrastructure challenges.

  • Design cloud-agnostic systems that allow customers to deploy Lovable in the environment that best fits their needs.

  • Build secure sandboxing and runtime environments.

  • Design and improve networking, encryption, identity, and enterprise infrastructure capabilities.

  • Build the internal platform that enables engineering teams to ship enterprise features faster.

  • Help define the long-term architecture of Lovable Enterprise.

Why this role?

Enterprise is one of the fastest-growing parts of Lovable.

You'll have unusually high ownership over a critical area of the product, working across engineering, enterprise customers, and major cloud providers to build infrastructure that very few companies get the opportunity to design from scratch.

If you're excited about building software that enables the next generation of enterprise AI products—and doing it across every major cloud platform—we'd love to hear from you.

Our tech stack

We're building with tools that both humans and AI love. Lovable engineers work across the stack, and examples of our technology include:

Languages: Go, Rust, TypeScript

Cloud: AWS, Azure, Google Cloud, Cloudflare

Infrastructure: Kubernetes, Terraform, Temporal, OTEL, CI/CD

Data: Postgres, ClickHouse, Firestore, Spanner, BigQuery

We're always looking for better tools and better ways of building software.

About your application
  • Please submit your application in English—it's our company language.

  • We review every application carefully and encourage anyone excited by the role to apply.

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