We design and operate high-throughput traffic routing systems that power rotating residential/mobile proxies, ISP and DC networks.

We operate globally, work fully remote, and keep our engineering team small, pragmatic, and very technical.

Our team is responsible for the performance, reliability, and efficiency of the proxy engine — the most latency-sensitive and technically demanding part of the platform.

We are now expanding our Proxy Engineering group and looking for an experienced Golang Software Engineer who will work on the foundation of our proxy system: connection management, routing logic, performance optimisation and reliability.

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‍🚀 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.

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🧠 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.

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⚙️ 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.