Description
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 over-engineering, 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
We’re looking for a Senior Full Stack Engineer who’s passionate about technology, performance, and crafting amazing user experiences.
You’ll join a global, distributed team working on the core of our platform — where much of our users’ content is created, and where stability, performance, and reliability are critical.
The role of software engineering is changing. We’re looking for someone who is not only a strong engineer, but also highly effective at using AI agents and AI-assisted workflows as part of their daily work. This means being able to move faster, investigate deeper, manage more context, and execute across multiple streams of work while maintaining high quality.
Tech Stack: TypeScript • React • Redux • Nest.js • Node.js • MongoDB • AWS
What You’ll Do
Build and ship end-to-end features that power our recording and live-call experience.
Design, maintain, and evolve scalable services and product architecture.
Prototype quickly, iterate fast, and deliver meaningful product impact.
Collaborate closely with product, design, growth, and engineering teams to improve the user experience.
Use data, observability, and investigation tools to guide technical and product decisions.
Use AI tools and agents as a core part of your daily workflow — for coding, architecture, troubleshooting, investigation, debugging, testing, documentation, code review, and technical exploration.
Work effectively across multiple parallel workstreams by delegating the right tasks to AI agents, maintaining context, validating output, and integrating results into production-quality work.
Balance speed with maintainability, reliability, and thoughtful engineering judgment. Why You’ll Love It
Work with a passionate, remote-first team.
Shape a product used by thousands of creators and businesses.
Have ownership, autonomy, and flexibility.
Work on technically challenging problems involving performance, media, reliability, and real-time collaboration.
Join a team that is actively redefining how engineering work gets done with AI-assisted workflows, internal tools, agents, automation, and modern development practices. Requirements
What Will Make You Stand Out?
Degree in Computer Science or equivalent real-world experience.
8+ years of software development experience.
Deep expertise in React and JavaScript/TypeScript, applying modern best practices, design patterns, and clean code principles.
Good experience with Node.js, MongoDB, RESTful APIs, and scalable backend systems.
Strong product and engineering judgment, with the ability to make pragmatic technical decisions.
Proven experience working in remote and distributed teams.
Excellent communication and teamwork in English.
Strong fluency using AI as a daily engineering multiplier — including AI agents, coding assistants, architectural exploration, troubleshooting, investigation, test creation, documentation, and code review.
Ability to manage several AI-assisted tasks or agents in parallel while preserving context, validating results, avoiding regressions, and maintaining a high bar for quality.
A mindset of continuous improvement: you actively experiment with new workflows, tools, and practices to increase engineering output without compromising reliability or craftsmanship. Bonus: Experience with WebSockets, WebRTC, MediaStream, and browser APIs for audio/video.
