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Securonix

A New Era of AI-Reinforced CyberOps

Senior Syslog Engineer

EngineerEngineerContractRemoteSeniorTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

India

Posted

69 days ago

Salary

0

Seniority

Senior

Job Description

Senior Syslog Engineer

Securonix

• Design, implement, and optimize syslog-ng configurations for high-volume log ingestion environments • Develop and maintain complex filtering logic to ensure accurate routing, normalization, and noise reduction of logs • Analyze and improve log pipeline performance (CPU, memory, latency, throughput) • Build efficient, scalable, and fault-tolerant syslog architectures • Troubleshoot issues related to high CPU/memory usage, message drops / backpressure, ordering and duplication issues, and Network/TCP/TLS ingestion problems • Optimize buffering, batching, and flow control mechanisms in syslog-ng • Work closely with SIEM platforms (e.g. Securonix, Splunk, ELK) to ensure seamless ingestion • Ensure log integrity, reliability, and completeness across the pipeline • Implement best practices for log parsing (RFC3164, RFC5424), structured vs unstructured logs, and Secure syslog (TLS) • Perform capacity planning and load testing for syslog pipelines • Create test frameworks to validate syslog filters and configurations • Document standards, guidelines, and reusable configurations

Job Requirements

  • Deep expertise in syslog-ng (mandatory)
  • Strong understanding of syslog protocol internals: RFC3164, RFC5424, TCP/UDP/TLS behavior
  • Expertise in designing syslog filters and routing logic
  • Strong experience with log parsing, pattern matching, and regex optimization
  • Experience tuning: log- iw -size, log- fifo -size, flush_lines, so_rcvbuf, disk-buffer and memory management
  • Understanding of backpressure, buffering, and flow control
  • Experience handling high EPS (10K–100K+) environments
  • Ability to debug: Message loss, Duplicate events, Out-of-order processing, High CPU/memory usage
  • Strong Linux debugging skills: tcpdump, netstat, ss, top, strace
  • Experience with one or more: Splunk / ELK / QRadar
  • Understanding of log ingestion pipelines (Kafka, Spark, etc.)
  • Knowledge of data enrichment and normalization

Benefits

  • Equal employment opportunities (EEO) to all employees and applicants
  • Compliance with non-discrimination in employment
  • Prohibition of unlawful employee harassment

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