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Senior Backend Engineer (Go) | Studio AI
Senior Backend Engineer (Go) | Studio AI
As a Senior Backend Engineer (Go), you will architect and scale high-concurrency systems for Creative Fabrica's Studio AI, specifically focusing on orchestrating multimodal AI generation pipelines. This role involves designing Go-based microservices, optimizing performance with Kafka and SQS, and working with AWS to manage data and compute resources for a global audience of creators.
About the role
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.