For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Engineering Team
We’re a team of smart, curious engineers building scalable, reliable systems that power content creation for millions. We work with modern web technologies, tackle real-world challenges in distributed systems, and keep things practical—no overengineering, just solid solutions. If you love solving tough problems, moving fast, and building tech that creators actually use, you’ll fit right in.
On your day to day
As a Senior Backend Engineer on the Platform & Infra Team, you will own the core plumbing of the Riverside ecosystem:
Architecting Scalability: Design and optimize the core processing systems that handle massive concurrency and petabytes of video/audio data.
Driving DevEx: Create the tools, internal platforms, and CI/CD abstractions that empower our product teams to ship code faster and more safely.
GraphQL & API Excellence: Own and optimize our GraphQL layer to ensure seamless, high-performance communication across our microservices.
Infrastructure as Code: Maintain and evolve our AWS environment, focusing on automation, observability, and cost-efficiency.
AI Infrastructure & Agentic Systems: Build and scale the infrastructure powering Riverside’s AI workflows, including MCP integrations and agent-based systems, with a focus on reliability, observability, and real-time orchestration.
Requirements
The Experience: 6+ years in backend engineering with a heavy leaning toward infrastructure, platform, or systems design.
The Tech Stack: Expert-level Node.js and TypeScript skills.
API Mastery: Strong experience with GraphQL (schema design, performance, and scaling).
The Data Layer: Deep understanding of MongoDB, Postgres and how to optimize it for high-scale environments.
The Mindset: You are a researcher by nature. You don't just "fix" things; you analyze the system, find the bottleneck, and re-engineer it for the future.
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riverside’s your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if that’s not enough, we guarantee that your ideas will genuinely make an impact.
