Golang Engineer — Networking / Proxy Platform

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Golang Engineer — Networking / Proxy Platform

#удаленка #senior

Company:NDA🚀 What You’ll Work On

— Developing and improving the core proxy services responsible for traffic handling, routing, and session lifecycle.

— Designing and implementing high-performance network components using Go.

— Performance-critical subsystems: concurrency models, resource scheduling, flow control.

— Profiling, debugging and optimising performance (latency, throughput, memory).

— Monitoring and observability pipelines with high cardinality metrics

— Participating in architectural discussions and technical decisions.

— Code reviews, knowledge sharing and helping maintain engineering quality.

— Working closely with infra, data and backend teams to ensure stable operation in production**.

🧠 Required Technical Experience**

— 4+ years professional backend experience, 2+ with Go in production.

— Strong understanding of goroutines, channels, and concurrency patterns.

— Practical experience with profiling (pprof), metrics, and logging.

— Strong understanding of concurrency primitives and patterns: channels, sync/atomic, waitgroups, locks.

— Experience with TCP/IP, UDP, connection state, keepalive and debugging techniques.

— Profile, debug, and improve performance with metrics and traces. Ability to optimize GC pauses, reduce lock contention.

— Production experience with PostgreSQL and Redis.

— Linux fundamentals: networking tooling, performance debugging.

— Experience instrumenting services with Prometheus and building meaningful dashboards.

— Ability to identify problems proactively and improve things without being asked.

— Interest in performance optimization or reliability engineering.

⚙️Nice to Have

— Experience with high-load systems or connection pools.

— Knowledge of HTTP/2, QUIC, or custom multiplexing layers.

— Kafka or another distributed queues.

— Experience with TLS termination and handshake optimization.

— Experience tuning sysctl for high connection concurrency.

— Performance-critical subsystems optimization: concurrency models, resource scheduling, flow control.

— Design monitoring and observability pipelines with high cardinality metrics.

— Production-grade reliability features: retries, failover, connection recovery, load balancing.

— Ability to lead deep-dive investigations into complex performance or reliability issues without external guidance.

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