Back End Developer

About Ludeo

Ludeo is a hyper-growth startup redefining how players discover and experience games. We’ve built groundbreaking technology that transforms gameplay highlights into interactive, playable experiences. Now, for the first time, gamers can do more than just watch epic moments… they can jump in and play them instantly. No downloads. No installs. No sign-ups. Just click and play within seconds.

We believe the future of gaming content is interactive, immersive, and instantly accessible.

About the Role

We are looking for a talented Senior Backend Developer to join our growing team and lead the architecture and scaling of our real-time, high-performance platform. You will be responsible for designing and implementing critical backend systems that support millions of users while ensuring ultra-low latency, high availability, and seamless performance.

This is a high-impact role where you'll work on cutting-edge backend solutions for cloud-scale gaming infrastructure.

What You'll Do

Architect and develop highly scalable, distributed backend services to support real-time gaming interactions.

Optimize performance and reduce latency in microservices-based architectures handling millions of concurrent users.

Ensure high availability, fault tolerance, and efficient resource utilization in a cloud-based environment.

Design and implement high-throughput data pipelines for real-time event processing.

Develop and manage robust APIs, databases, and caching layers to efficiently handle gaming sessions.

Work in an agile, fast-paced environment, taking ownership of core backend services.

Mentor and guide team members, fostering engineering excellence and knowledge sharing.

Requirements

4+ years of experience developing large-scale backend systems in Node.js with microservices.

Deep expertise in performance optimization, and real-time event-driven architectures.

Strong background in distributed systems, caching strategies, and concurrency handling.

Hands-on experience designing and optimizing NoSQL databases for high-scale workloads.

Expertise with message queues, event streaming, and real-time data processing (Kafka, Redis, RabbitMQ, etc.).

Solid understanding of cloud infrastructure, containerization, orchestration and Docker.

Experience with CI/CD, monitoring, logging, and security best practices for scalable backend systems.

Nice to have

Experience in managing infrastructure resources, implementing custom autoscaling, and interacting with the Kubernetes API/Control plane

Familiarity with TypeScript

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