Senior Backend Engineer (Go)

Creativefabrica; Amsterdam; On-site; EUR 110,000 - 150,000; Full time

Job summary

Creative Fabrica in Amsterdam is seeking a Senior Backend Engineer (Go) to architect and scale a multimodal generation pipeline. You will design high‑concurrency Go microservices orchestrating AI workloads across media domains to deliver fast, reliable generation for a global creator audience.

You will optimize ConnectRPC and Kafka/SQS pipelines, integrate with AWS for data throughput and storage, and collaborate with AI researchers to move model outputs toward a polished user experience.

Qualifications

• Extensive experience building and scaling Go services in high-traffic SaaS.
• Proven ability to design microservices with asynchronous processing.
• Deep knowledge of AWS and distributed compute environments.
• Background in professional-grade creative tools or media apps.
• Experience with observability, testing, and code reviews.

Responsibilities

• Orchestrate Multimodal Workflows: Design and scale Go-based microservices that manage the lifecycle of AI generations.
• Performance Engineering: Optimize ConnectRPC services and async pipelines (Kafka + SQS) for long-running inference tasks.
• Build the Creative Engine: Develop backend logic for multimodal orchestration and advanced features.
• Data & Infrastructure: Work with AWS to manage massive data throughput and storage clusters.
• Collaborate with AI Researchers: Bridge model outputs to a polished user experience.

Skills

Advanced Go Engineering

Distributed Systems Mastery

Cloud Architecture

Product Rigor

Software Best Practices

Tools

Kafka

SQS

gRPC

ConnectRPC

GraphQL

AWS

EKS

S3

Lambda

Job description

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 team: idea.ai

idea.ai is our bet on what creative software looks like when AI is the default, not a feature.

We built a single platform where anyone can generate and edit images, video, audio, 3D models, and vector graphics using state-of-the-art generative AI. Our tools serve hundreds of thousands of creators every day, from hobbyist crafters to professional designers and everything in between, all in one place.

We move fast, integrate frontier models into production-ready workflows, and build the infrastructure that gives creators every tool they need to turn any idea into professional-grade media, at scale.

About the role

As a Senior Backend Engineer (Go), you will be the architect of our multimodal generation pipeline. You won't just be building APIs; you’ll be designing the high-concurrency systems that orchestrate "heavy" AI workloads across any media domains. Your goal is to make complex, multi step AI generation feel instantaneous and reliable for a global audience of creators.

What you will do:

• Orchestrate Multimodal Workflows: Design and scale Go-based microservices that manage the lifecycle of AI generations.
• Performance Engineering: Optimize our ConnectRPC services and async processing pipelines (Kafka + SQS) to handle long-running, resource-intensive inference tasks without compromising platform stability.
• Build the Creative Engine: Develop the backend logic for advanced features like multimodal orchestration.
• Data & Infrastructure: Work with AWS to manage massive data throughput and integrate with high-performance storage and compute clusters.
• Collaborate with AI Researchers: Bridge the gap between raw model outputs and a polished "One Person Studio" user experience.

What you will need:

• Advanced Go Engineering: Extensive experience building and scaling Go services in high-traffic, high-volume SaaS environments.
• Distributed Systems Mastery: Proven ability to design microservices that utilize asynchronous processing (Kafka & SQS) and low-latency communication (gRPC/ConnectRPC/GraphQL).
• Cloud Architecture: Deep knowledge of AWS (EKS, S3, Lambda) and experience managing complex compute environments.
• Product Rigor: A background in building professional-grade creative tools or media-heavy applications.
• Software Best Practices: A quality-first mindset regarding code reviews, testing strategies, and observability.

Nice to have:

• Media Processing Experience: Familiarity with handling varied media types (video transcoding, audio synthesis, vector manipulation).
• AI Infrastructure: Experience with model serving at scale or managing GPU-accelerated workloads.
• Entrepreneurial Mindset: Experience in a fast-paced environment where you help define the product vision and iterate quickly.

Creative Fabrica is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.