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Lovable

Software Engineer, Platform (Enterprise)

London
Posted about 17 hours ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

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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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Skills

Infrastructure Engineering
Platform Engineering
Cloud Architecture
Go
Rust
Kubernetes
Terraform
Networking
Distributed Systems
Security
Bring Your Own Cloud
Backend Infrastructure
Identity Management
Sandboxing
Cloud-Agnostic Design
TypeScript

Location

London, England, United Kingdom

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