About Alright TV
Alright TV is a micro-drama OTT platform built for immersive, short-form storytelling. We focus on high-engagement content experiences and design plays a central role in how users discover, watch, and stay.
Until now, we've worked with an external agency. We're now building an in-house design team to move faster, think deeper, and shape a stronger product identity with dynamic interface.
The Role
We are looking for an execution-driven Backend Engineer to build and scale the core infrastructure powering the Alright TV ecosystem. You will work on high-throughput systems, optimize APIs for performance, and ensure backend reliability for a consumer-facing micro-drama platform.
Key Responsibilities
- Build and maintain scalable backend services using Node.js
- Design clean, efficient, and high-performance REST APIs
- Optimize systems for low latency, high concurrency, and reliability
- Implement caching strategies (Redis / in-memory) to improve performance
- Design and manage MongoDB schemas, queries, and indexing strategies
- Monitor, debug, and resolve production issues proactively
- Ensure high availability and system stability during peak traffic
- Collaborate with frontend, product, and data teams for seamless integration
- Complete ownership of the backend and related systems including design, development, deployment, performance and lifecycle management
Technical Requirements
- 36 years of backend development experience (consumer apps preferred)
- Strong proficiency in Node.js and API design
- Hands-on experience with MongoDB (schema design, indexing, optimization)
- Experience with caching systems like Redis
- Understanding of system design fundamentals (HLD/LLD)
- Experience with AI coding assistants like Claude Code/Cursor/Copilot
What We're Looking For
- Strong problem-solving and debugging mindset
- Ability to work in high-pressure, fast-paced environments
- Experience in OTT, media-tech, or RMG platforms is a strong plus
- Focus on scalability, performance, and reliability
- Experience working with production-scale systems
