L3 Linux Administrator (Low-Latency Trading Systems)

Job Description

Location: Mumbai Experience: 8+ Years Availability: Immediate Joiners Preferred About the Role We are looking for an experienced L3 Linux Administrator to manage and optimize our low-latency trading infrastructure. The ideal candidate will have deep expertise in Linux system administration, performance tuning, and troubleshooting within high-frequency trading environments. Key Responsibilities System Optimization: Configure and tune Linux systems for ultra-low latency, including kernel parameter adjustments, CPU isolation, NUMA optimizations, and persistent huge pages. Performance Monitoring & Troubleshooting: Diagnose and resolve issues like high CPU utilization, network packet drops, disk I/O bottlenecks, and performance degradation using advanced tools (perf, dropwatch, ethtool, etc.). Network Configuration: Optimize network stack settings for trading environments and configure multicast networking for market data feeds. Security Management: Secure FIX protocol communications and ensure compliance with industry standards through encryption and secure tunneling techniques. High Availability (HA): Design and implement HA solutions for trading applications using tools like Pacemaker or Corosync. Time Synchronization: Ensure precise time synchronization across trading servers using NTP/PTP configurations. Kernel Bypass Technologies: Leverage technologies such as DPDK or Solarflare OpenOnload to enhance network performance. Required Skills & Expertise Advanced knowledge of Linux system administration (RHEL/CentOS preferred). Experience in low-latency system design and performance tuning. Proficiency in troubleshooting tools (perf, strace, bpftrace). Expertise in FIX protocol security and troubleshooting FIX engine connectivity issues. Strong understanding of network stack optimizations (XPS/RPS tuning, IRQ balancing). Familiarity with kernel bypass technologies like DPDK or Solarflare OpenOnload. Preferred Experience in financial services or high-frequency trading environments. Knowledge of monitoring tools like Prometheus, Grafana, or ELK Stack. Proficiency in scripting languages such as Python or Bash.