Distributed Proxy Network (Networking / Backend)
We’re building a consent-based residential & mobile proxy network — a platform where users opt in to share spare bandwidth and earn for it, and businesses access that pool through a clean API for legitimate use cases (data collection, ad verification, market research, brand protection).
You’ll build the technical core: the peer client, the routing/tunneling layer, and the gateway that ties them together. This is deep distributed-networking work, not a typical web app. If reverse tunnels, SOCKS5, and CGNAT sound like fun rather than jargon, read on.
What you’ll build
• The gateway / control plane: accepts buyer requests and routes them to live peers matching a requested geo, while tracking peer health across many thousands of persistent connections.
• The reverse-tunneling layer: peers behind home routers and carrier NAT dial outward and hold connections open; you route buyer traffic back down those tunnels. This is the heart of the system.
• The peer client: a lightweight, transparent agent (desktop daemon and/or mobile app) that meters bandwidth, respects data caps, and gives users full control.
• Usage metering & billing that’s accurate enough to bill buyers and pay suppliers off the same numbers.
• Abuse prevention baked in from day one — buyer KYC, traffic filtering, and payout-side fraud detection.
What we’re looking for
Must have
• Strong systems / backend engineering, ideally in Go or Rust, with real concurrency experience (you’ve handled many thousands of simultaneous connections, or are clearly ready to).
• Deep networking fundamentals: TCP/IP, HTTP(S), TLS, DNS, and hands-on familiarity with SOCKS5 / HTTP CONNECT proxy protocols.
• Practical understanding of NAT / CGNAT and NAT-traversal / reverse-tunneling techniques (WebSockets, gRPC streams, or custom protocols).
Nice to have
• Mobile (Kotlin/Swift) or desktop client experience, especially battling OS background-execution limits.
• Experience with proxy/VPN/CDN/P2P infrastructure or any high-throughput networked product.
• DevOps at connection scale (observability, autoscaling) and exposure to billing or marketplace systems.
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