Job Description

About the Role

Authify is building Krypton , a mission-critical intelligence platform designed to ingest, process, and analyze extremely high-volume data streams with strict latency, reliability, and correctness requirements .

We are looking for a Senior Systems Engineer who is comfortable working close to the hardware and OS , understands performance at a fundamental level, and has built or operated high-throughput, low-latency systems in production.

This is not an application-layer role . You will work on core ingestion, packet processing, and system-level components .


What You’ll Work On
  • Build high-performance system components in C++ and Go
  • Design and optimize packet ingestion and stream processing pipelines
  • Develop kernel-adjacent / kernel-aware systems focused on throughput and latency
  • Work with DPDK or kernel-bypass networking frameworks
  • Optimize systems for CPU affinity, NUMA, memory layout, cache efficiency, and I/O paths
  • Debug and profile live systems using low-level tools (perf, eBPF, tracing, flamegraphs)
  • Collaborate on architecture decisions for large-scale, production-grade intelligence systems


Must-Have Qualifications
  • Strong experience with C++ in performance-critical systems
  • Working experience with Go (Golang) for backend or systems services
  • Deep systems knowledge : Linux internals, process scheduling, memory management, networking stack
  • Prior hands-on experience with DPDK or similar kernel-bypass / user-space networking frameworks
  • Experience building or maintaining high-throughput, low-latency systems in production
  • Strong understanding of concurrency, synchronization, and lock-free design
  • Comfortable debugging issues at OS, network, and runtime levels


Preferred Qualifications
  • Experience with packet capture, stream processing, or network telemetry systems
  • Familiarity with NUMA architectures, hugepages, and zero-copy pipelines
  • Experience profiling systems under real load (CPU, memory, I/O, network)
  • Exposure to telecom, networking, or large-scale data ingestion platforms
  • Experience working in deep-tech or infrastructure-heavy environments


What We Look For
  • Engineers who are hands-on and systems-driven
  • Strong ownership and ability to reason about performance bottlenecks
  • Comfort working in complex, ambiguous problem spaces
  • Engineers who have built real systems

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