Senior Software Engineer - Frontend - AI Clips Team

This role is suitable for a Senior Frontend Engineer who can independently deliver high-quality, user-focused features in a fast-paced, collaborative startup environment.

The candidate should have expert-level React skills, strong JavaScript and TypeScript knowledge, experience with state management, CSS preprocessors, Node.js, REST APIs, databases, AWS, Linux, Docker, Kubernetes, and continuous deployment.

They should be familiar with designing and implementing complex interfaces, frontend business logic, UI/UX collaboration, code reviews, system reliability improvements, and building scalable web products.

How would you structure a React and TypeScript application for an AI Clips feature with complex UI state?

I would separate presentation, domain logic, API services, and state management, using strongly typed interfaces throughout. MobX stores could manage clip-generation workflows, selection, loading states, errors, and optimistic updates while keeping components focused and testable.

How would you optimize a React interface that displays and edits many generated video clips?

I would use stable component boundaries, memoization where profiling justifies it, virtualization for large lists, and efficient selectors to avoid unnecessary re-renders. I would also lazy-load noncritical features and carefully manage media loading, caching, and cleanup.

How would you design the state flow for asynchronous AI clip generation?

I would model the workflow explicitly with states such as idle, submitting, processing, completed, and failed, including request identifiers and retry behavior. Progress updates could arrive through polling, Server-Sent Events, or WebSockets, with cancellation and stale-response protection.

How would you design a REST API in Node.js for creating and managing AI-generated clips?

I would define resource-oriented endpoints with validated request schemas, consistent error responses, authentication, pagination, and idempotency for generation requests. Long-running processing should be asynchronous, returning a job identifier that clients can monitor until completion.

What TypeScript practices would you apply to prevent errors across frontend and backend boundaries?

I would use shared or generated API types, strict compiler settings, discriminated unions for workflow states, and runtime validation for external data. TypeScript protects compile-time contracts, but responses still need runtime validation because network data cannot be trusted automatically.

How would you implement responsive and accessible controls for an AI video editor?

I would use semantic HTML, keyboard navigation, visible focus states, appropriate ARIA only when necessary, and accessible labels for media controls and asynchronous status updates. Layouts would use responsive CSS with clear interaction states and attention to contrast, touch targets, and reduced-motion preferences.

How would you organize SASS or LESS styles for a scalable frontend product?

I would establish design tokens for colors, spacing, typography, and breakpoints, then compose styles using small, predictable modules. I would minimize nesting, define clear component ownership, and avoid global selectors that create unintended coupling.

How would you make an AI Clips feature reliable in production?

I would add unit and integration tests for state transitions, API failures, permissions, and edge cases such as retries or expired media URLs. Production reliability would also require structured logging, client-side error reporting, metrics for generation success and latency, and safe feature rollout.

How would Docker, Kubernetes, and continuous deployment support this frontend service?

Docker would provide reproducible builds, while Kubernetes could manage scalable API or supporting services with health checks, resource limits, and configuration separation. Continuous deployment should include automated tests, linting, security checks, staged releases, and rollback mechanisms.

How would you handle code reviews and technical trade-offs in a small remote engineering team?

I would keep changes focused, explain the reasoning and user impact, and review correctness, maintainability, accessibility, performance, and security. When trade-offs exist, I would document assumptions, seek early feedback, and prefer the simplest reliable solution that can evolve later.

Restream, a leading multistreaming platform founded in Ukraine, is hiring a Senior Frontend Software Engineer for its AI Clips Team. You’ll build polished, reliable user interfaces and business logic, collaborate with designers and engineers, review code, and deliver impactful product features. The stack includes JavaScript, TypeScript, React, MobX, LESS/SASS, Node.js, REST APIs, AWS, Docker, Kubernetes, and Linux. This is a full-time remote role across Europe; salary is not disclosed, with equity, a flat startup environment, and the opportunity to shape a product used by over 10 million people.