Backend Developer

ABOUT CODEWAY

Codeway builds category-leading consumer AI apps on mobile and web, at global scale.

600M+ downloads. 60+ apps. 400+ builders across Barcelona and İstanbul. Completely bootstrapped. No board. Profitable since year two.

Small teams move faster than big ones. But they need big resources to win at scale. Nobody starts from zero. The problem decides the solution, not us.

We turn category wins into six focused vertical companies: Wishlabs (AI Creativity), Wellture (Wellness), Learna (Education), Sparked (Media), Cosmic Jam (Entertainment), and Catalyst Apps (Utilities & Productivity). Each has full ownership and the depth to go further than anyone else in its space.

Codeway HQ powers them all. One platform. One team that finds and grows builders. One set of guardrails. Every idea born here starts with an unfair advantage: the platform, the people, and the profits of every product before it. That's the system.

Turns out you can do both.

Move like an indie. Hit like a giant.

**THE ROLE

**As a Software Engineer, Backend at Codeway, you will design, build, and operate the scalable backend services that power mobile apps and web experiences used by millions. You won't just write code; you will own features end-to-end - from initial system design and AI integration to deployment and production monitoring - with a strong focus on API quality, performance, and reliability.

Our environment is fast-paced, and we value engineers who can turn complex architectural challenges into simple, elegant, and maintainable solutions. The ideal candidate will be comfortable building backend services for mobile products and working with API-heavy consumer apps.

You will collaborate with mobile, product, AI, and DevOps teams to ship features end to end, bringing AI-powered capabilities into production where relevant.

What You’ll Be Doing
 

• Design and implement scalable systems. Build high-performance backend architectures and microservices/RESTful APIs for mobile and web clients using Node.js and Python.

• Own features end-to-end. Take full responsibility for the lifecycle of your services, from ideation and implementation through to deployment (GCP/Firebase) and continuous optimisation.

• Integrate AI and media workflows. Deploy, monitor, and support LLMs and media workflows (STT/TTS, image/video/audio processing) in production, managing model serving, inference performance, and latency/cost tradeoffs.

• Architect asynchronous workflows. Implement robust event-driven systems using queues and tasks to handle heavy media and AI workloads.