Senior Network Engineer

3 weeks ago

Bengaluru Karnataka India, Karnataka Authify Full time

Location: Bangalore (Hybrid)

Experience: 4–7 years

Team: Authify – Intelligence Engineering

Type: Full-time, Hands-on IC Role

About Authify

Authify builds deep-tech intelligence systems that ingest, process, and analyze massive volumes of real-world data in real time. Our platforms power high-throughput analytics, entity correlation, anomaly detection, and intelligence workflows across telecom, network, and sensor ecosystems. We operate at the intersection of distributed systems, data engineering, and applied machine intelligence — building products that must be fast, reliable, and trustworthy.

Role Overview

We are looking for a Senior Network Engineer who is deeply experienced in packet-switched networking, modern L3–L6 protocols, and large-scale data ingestion pipelines. You will design, implement, and optimize the networking and packet-processing layer that powers Authify’s intelligence stack. This is a hands-on engineering role, suited for someone who enjoys working close to the wire, understands how packets behave in the wild, and can architect reliable capture/processing systems used in production.

What You’ll Work On
  • Architect and implement high-throughput packet ingestion pipelines for real-time intelligence workloads (10Gbps+ environments).
  • Decode and process protocols across L3–L6 with deep understanding of packet behaviour, fragmentation, retransmission, jitter, QoS, and flow reconstruction.
  • Build and optimize network processing microservices using Go (Gin) with a focus on low latency and high reliability.
  • Work closely with distributed systems engineers to ensure packet → Kafka → Spark pipelines remain lossless, consistent, and horizontally scalable.
  • Optimize memory, throughput, CPU affinity, I/O, batching, and serialization for performance-critical code.
  • Collaborate with backend and ML teams to expose networking data in a structured, analysis-ready form.
  • Implement monitoring, alerting, and diagnostic tools to detect bottlenecks and degradation in pipeline performance.
  • Contribute to internal standards, testing frameworks, and RFC-level documentation.
Required Experience
  • 4–7 years in network engineering, L3–L6 protocol analysis, packet pipelines, or data-intensive backend systems.
  • Strong knowledge of packet-switched protocols: TCP/IP, UDP, ICMP, SIP, RTP, RTCP, GTP, HTTP/2, etc.
  • Hands-on experience decoding, reconstructing, or analyzing real-world traffic at scale.
  • Proficiency in Go (or strong willingness + ability to learn quickly).
  • Strong foundations in OS internals, network stack, concurrency, buffering, kernel networking, and MTU/MSS optimisation.
  • Experience working in environments that handle real production workloads, not just POCs.
  • Ability to identify and fix bottlenecks in highly concurrent data flows.
Nice to Have
  • Experience with Kafka, Spark, Kubernetes, or distributed tracing.
  • Exposure to telecom environments (but not mandatory).
  • Understanding of ELK stack, TimescaleDB, or MinIO.
What We Value
  • Hands-on technical ownership
  • Ability to handle ambiguity and design for scale
  • Curiosity to dig deep into complex systems
  • A strong sense of engineering correctness and quality

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