Senior Network Engineer
2 weeks ago
Location: Bangalore (Hybrid) Experience: 4–7 years Team: Authify – Intelligence Engineering Type: Full-time, Hands-on IC RoleAbout AuthifyAuthify 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 OverviewWe 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 OnArchitect 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 Experience4–7 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 HaveExperience with Kafka, Spark, Kubernetes, or distributed tracing.Exposure to telecom environments (but not mandatory).Understanding of ELK stack, TimescaleDB, or MinIO.What We ValueHands-on technical ownershipAbility to handle ambiguity and design for scaleCuriosity to dig deep into complex systemsA strong sense of engineering correctness and quality
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