Lovable
AI-powered software creation platform
FullstackEngineer-LovableAppsPlatformTeam
Neural analysis suggests this role is
optimal for Mid candidates.
“Fullstack Engineer - Lovable Apps Platform Team at Lovable. Skills: fullstack, TypeScript, React, Node.js, SaaS platform features, API gateways, developer tooling, managed cloud services, AWS, GCP, DNS, TLS/SSL automation, custom domain provisioning. Create UX for our users to build with Apps Platform features. Build and own platform services like identity, logging, metering, workflow engine, object storage, secrets”
Industry & Context.
What They're Looking For.
Must Have
fullstack background: deep comfort with TypeScript/React on the frontend and Node. js or similar on the backend, Experience building and operating SaaS platform features — auth flows, meteringilling pipelines, API gateways, or developer tooling, Product instinct: you think in user outcomes, not just API endpoints, Comfort working with third-party services and building clean abstractions over vendor APIs, Familiarity with managed cloud services (AWS, GCP) and the tradeoffs of buy-vs-build, You've shipped features in fast-moving, high-ownership environments where you wore multiple hats, Experience with DNS, TLS/SSL automation, and custom domain provisioning at scale
Nice to Have
Experience with observability, logging, or metering systems is a plus, Experience with BaaS or PaaS platforms (Supabase, Firebase, Vercel, Render, etc. ), Familiarity with TanStack Router/Query or similar modern frontend stacks, Background in developer experience or developer tools, Interest in AI-assisted development and how cloud infrastructure enables it
What You'll Do.
Create UX for our users to build with Apps Platform features
Build and own platform services like identity
Create abstraction layers for deep integrations with key partners and vendors
own end-to-end slices of our Lovable Apps Platform
and integrations that let Lovable users manage their cloud resources — from admin panels and analytics dashboards to vendor abstraction layers and the AI gateway
Full Job Description
About Lovable & Lovable Apps Platform Lovable is an AI-powered software creation platform. Millions of users use Lovable to go from idea to working application, generating hundreds of thousands of apps every day. The Lovable Apps Platform is what makes those generated apps actually run in production. The moment a user hits deploy, the Apps Platform takes over — provisioning the database, handling user auth, storing files, serving the app over a custom domain, capturing logs, and metering usage. It's the full backend and hosting layer for every app built on Lovable, designed so creators never have to think about infrastructure to ship something real. The Lovable Apps Platform is what makes those generated apps actually run in production. The moment a user hits deploy, the Apps Platform takes over — provisioning the database, handling user auth, storing files, serving the app over a custom domain, capturing logs, and metering usage. It's the full backend and hosting layer for every app built on Lovable, designed so creators never have to think about infrastructure to ship something real. The Apps Platform is growing fast, and we're investing heavily in each layer of the stack — building deeper ownership over the services that power our users' apps so we can move faster, scale better, and shape the product experience us and our users actually want. The Role We're looking for product-minded fullstack engineers who can own end-to-end slices of our Lovable Apps Platform. You'll build the interfaces, APIs, and integrations that let Lovable users manage their cloud resources — from admin panels and analytics dashboards to vendor abstraction layers and the AI gateway. This is the highest-surface-area layer of the stack: identity, logging, metering, workflow engine, buckets, database connection strings, secrets, custom domains, and connectors. What You'll Do - Create UX for our users to build with Apps Platform features - Build and own platform services like identity, logging
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