Golang Engineer (Networking/Proxy Platform)

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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