L3 Server Infrastructure Engineer

13 hours ago

bangalore, India RapidBrains Full time

Job Description:


We are seeking an experienced Server Infrastructure Engineer to design, deploy, and manage a next-generation live cam streaming platform. The role involves building a highly reliable, low-latency, and secure streaming solution that can scale seamlessly to support high traffic while ensuring enterprise-grade security and operational excellence.


Responsibilities:


  • Design and implement infrastructure for large-scale concurrent live streaming (50–100 performers, 2,000–3,000+ viewers).
  • Configure and optimize backend servers to handle application logic, token/payment processing, and database management.
  • Deploy and manage Ant Media Enterprise Edition servers with an Origin-Edge scaling topology.
  • Implement adaptive bitrate streaming, WebRTC, and RTMP ingestion for ultra-low latency video delivery.
  • Ensure end-to-end encryption, role-based access, and secure API/token handling.
  • Monitor system performance using analytics tools (e.g., Grafana, Prometheus, New Relic).
  • Establish disaster recovery plans, daily backups, and auto-failover mechanisms to achieve 99.9% uptime SLA.
  • Collaborate with development teams to integrate monetization features (subscriptions, tipping, premium features).
  • Continuously optimize infrastructure for scalability, security, and cost efficiency.


Required Skills & Experience:


  • Strong expertise in Linux server administration (Ubuntu 22.04 preferred).
  • Hands-on experience with streaming technologies (WebRTC, RTMP, Ant Media, NGINX/HAProxy).
  • Proficiency in database management with MongoDB and caching using Redis.
  • Knowledge of enterprise-grade security practices (firewalls, WAF, fail2ban, token-based access).
  • Experience in configuring high-performance servers (multi-core CPUs, NVMe SSD storage, unmetered 10 Gbps bandwidth).
  • Familiarity with adaptive bitrate streaming and hardware-accelerated encoding.
  • Skilled in monitoring, logging, and performance optimization with tools like Grafana, Prometheus, or New Relic.
  • Strong understanding of scalability and load balancing strategies.
  • Ability to design and maintain disaster recovery and high availability systems.

Nice to Have:

  • Experience with payment system integration and token-based monetization models.
  • Prior work on large-scale live streaming platforms.
  • Knowledge of cloud-based scaling solutions and containerization (Docker, Kubernetes).

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