Senior Backend Engineer (Go, Studio AI)

• 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
• 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

Benefits

• Awesome Office: Based in a beautiful office in the center, working here means delicious lunches cooked by our very own chefs, plus access to our own CF library to keep the learning going.
• Top-Notch Tools and Gear: You’ll be equipped with everything you need: a top-of-the-line laptop, the latest collaboration tools, and stylish accessories to match.
• And a great team: We work hard and have fun together. On Fridays, we kick off the weekend together at the local bar, but there’s more; we regularly organize events and company trips, creating opportunities to bond and build meaningful connections.

• Software Best Practices: A quality-first mindset regarding code reviews, testing strategies, and observability
• Product Rigor: A background in building professional-grade creative tools or media-heavy applications
• 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
• Advanced Go Engineering: Extensive experience building and scaling Go services in high-traffic, high-volume SaaS environments
• Entrepreneurial Mindset: Experience in a fast-paced environment where you help define the product vision and iterate quickly
• AI Infrastructure: Experience with model serving at scale or managing GPU-accelerated workloads
• Media Processing Experience: Familiarity with handling varied media types (video transcoding, audio synthesis, vector manipulation)