We're looking for an Infrastructure Engineer to go deep into that layer: build and own core proxy and networking infrastructure, not configure someone else's.
You bring the same range as our core infrastructure engineers - proxies and networking, browser internals, and cloud-native systems (Kubernetes, Docker, AWS) - with the depth to design and debug at every layer of the stack, plus a genuine specialization in networking and proxy systems.
What Youll be Doing:
Build core proxy infrastructure - reverse proxies, IP rotation, session management, intelligent routing.
Own IP pool health - reputation scoring, monitoring, blacklist recovery - across residential, mobile, datacenter, and ISP proxies.
Implement geo-targeting at country, city, and ASN level.
Work at the protocol level (TCP/UDP, sockets, HTTP/HTTPS/SOCKS5, HTTP/2/3) and the Linux networking stack underneath.
Build monitoring, health checks, failover, and bandwidth/usage metering for the proxy fleet.
Deploy and scale on cloud-native infrastructure (Kubernetes, Docker, Terraform).
Use AI-assisted development tools daily.
Requirements: 8+ years of engineering experience.
2+ years of hands-on experience with proxy infrastructure.
Deep, hands-on networking expertise - TCP/UDP, sockets, HTTP/HTTPS/SOCKS5, HTTP/2/3, DNS - at the protocol level, not the surface level.
Proven experience building (not just configuring or integrating) proxy or networking infrastructure - reverse proxies, rotation systems, IP reputation and quality management.
Working knowledge of proxy types - residential, ISP, mobile, datacenter - their characteristics, trade-offs, and failure modes.
Comfortable in the Linux networking stack: iptables, routing tables, network namespaces, connection tuning.
Experience with high-throughput, low-latency, high-scale systems, and the debugging skills to chase a problem down to a packet trace when needed.
Solid cloud infrastructure skills - Kubernetes, Docker, and IaC (Terraform) - to ship and operate what you build.
A genuine AI-native mindset - daily, expert use of AI-assisted development tools to move faster without sacrificing correctness.
Strong software engineering ability in Node.js, Rust, Go, or Python - you design and build production microservices, not just scripts and runbooks.
Experience with data infrastructure at scale - high-throughput pipelines and storage (nice to have).
This position is open to all candidates.