Senior Go Backend Engineer for Multimodal AI

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

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.