Senior Backend Developer

Description

About Ludeo

Ludeo is a hyper-growth startup in the gaming industry that is revolutionizing the way players discover and engage with games. For the first time, gamers can share their most thrilling gameplay moments with everyone and allow others to PLAY them, not just watch them as video clips.

Ludeo’s vision is to become the world’s first playable social media platform for gamers, enabling seamless discovery and interaction with gaming content.

About the Role

We are looking for a talented individual 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

• 7+ 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