Backend Engineer

About Creative Fabrica

Creative Fabrica is a fast-growing AI platform that makes it easy for everyday consumers to create whatever they imagine, from images and videos to audio and 3D creations, using the latest generative AI models.

About the role:

This is a fully remote role within New Zealand, Australia East Coast or nearby time zones.

Creative Fabrica is building a new generation of AI products, and we want the quality and speed of our creative output to match the ambition of the products themselves.

Our 26+ AI tools already serve hundreds of thousands of creators every day, from hobbyist crafters to professional designers. The engineering challenge is making heavy, long-running AI workloads feel fast and reliable at that scale.

We are looking for a Senior Backend Engineer with deep Go experience who can architect high-concurrency systems and take ownership of our multimodal generation pipeline. As a Senior Backend Engineer (Go), you will own the backend systems behind Studio AI's generation pipeline.

You will work closely with our other backend engineers, platform engineers, and Product to turn raw model output into a polished product experience.

This is not primarily an API-building role. The difficulty sits in orchestration: coordinating expensive inference across media domains, handling partial failure gracefully and keeping latency predictable under load.

You will have significant technical freedom. Sometimes you will pick up a defined problem; other times you will be given an objective and expected to define the architecture yourself.

Your overlap with our Amsterdam headquarters will mostly be asynchronous, so you should be comfortable working independently.

Our stack: Go, Kafka, SQS, gRPC, ConnectRPC, GraphQL, Postgres, AWS (EKS, S3, Lambda).

What you will do:

• Design and scale Go microservices that manage the full lifecycle of an AI generation.
• Optimise our ConnectRPC services and asynchronous pipelines (Kafka, SQS) to handle long-running, resource-intensive inference without compromising platform stability.
• Build the backend logic behind advanced features, including multimodal orchestration across images, video, audio, 3D and vector.
• Work with AWS to manage large data throughput and integrate with high-performance storage and compute clusters.
• Collaborate with external providers and Product to bridge the gap between model output and production user experience.
• Make and document architectural decisions on concurrency, queueing, backpressure and failure handling as the pipeline scales.