# Senior Backend Engineer (Go)
You are the architect of our multimodal generation pipeline. You don't just build APIs—you design high-concurrency systems that orchestrate heavy AI workloads across different media domains.
## Responsibilities
- Orchestrate Multimodal Workflows: Design and scale Go-based microservices that manage the lifecycle of AI generations.
- Performance Engineering: Optimize 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 backend logic for advanced features such as multimodal orchestration.
- Data & Infrastructure: Work with AWS to manage massive data throughput and integration 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.
## Requirements
- 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 leverage 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: Background building professional-grade creative tools or media-heavy applications.
- Software Best Practices: Quality-first mindset regarding code reviews, testing strategies, and observability.
## Nice to have
- Media Processing Experience: Familiarity with handling different 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.