Infrastructure / Platform Engineer

<p style="min-height:1.5em"><strong>Location:</strong> Remote (Australia or New Zealand)</p><p style="min-height:1.5em"><strong>Type:</strong> Full-time, remote</p><h3>About Neuphonic</h3><p style="min-height:1.5em">Neuphonic is building the next generation of voice AI, making natural, real-time speech accessible across devices, languages, and applications.</p><p style="min-height:1.5em">Our technology enables ultra-low-latency text-to-speech, voice cloning, and multilingual speech generation. We're pushing the boundaries of what's possible with speech models, from high-performance cloud inference to running AI directly on everyday devices without expensive GPUs or an internet connection.</p><p style="min-height:1.5em">We're a small, ambitious team of researchers and engineers building technology used by developers and businesses around the world. Our open-source releases have reached millions of downloads, and we're growing quickly.</p><h3>Why we're hiring</h3><p style="min-height:1.5em">As our customer base grows, we need to scale our production infrastructure while maintaining the performance, reliability, and low latency that our products depend on.</p><p style="min-height:1.5em">We're looking for an Infrastructure / Platform Engineer to take ownership of our cloud infrastructure and inference systems. You'll work closely with our engineering and ML teams to build scalable, reliable, and cost-efficient systems.</p><p style="min-height:1.5em"><strong>A key part of this role is extending our production support coverage beyond UK working hours.</strong> We're hiring in Australia or New Zealand to help us work towards 24/7 support for our production customers, so we're looking for someone comfortable taking ownership of live systems, responding to incidents, and making independent technical decisions.</p><p style="min-height:1.5em">Importantly, <strong>this isn't just about keeping our systems running.</strong> We want someone who will actively look for ways to improve how we build, deploy, and serve our models, continually experimenting, optimising, and evolving our infrastructure as we scale.</p><h3>What you'll own</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Cloud infrastructure:</strong> Build, manage, and scale our production infrastructure across GCP and GPU cloud providers using Kubernetes, Docker, and Terraform.</p></li><li><p style="min-height:1.5em"><strong>Inference optimisation:</strong> Continuously improve inference performance, latency, throughput, GPU utilisation, and infrastructure costs through profiling, experimentation, and iteration, rather than simply maintaining the status quo.</p></li><li><p style="min-height:1.5em"><strong>Platform evolution:</strong> Identify bottlenecks and inefficiencies in how we build, deploy, and serve models, and take ownership of implementing improvements.</p></li><li><p style="min-height:1.5em"><strong>Production reliability:</strong> Monitor critical systems, respond to incidents, and help ensure reliable service for our customers outside UK working hours.</p></li><li><p style="min-height:1.5em"><strong>Infrastructure architecture:</strong> Make autonomous technical decisions that balance scalability, reliability, performance, and cost.</p></li><li><p style="min-height:1.5em"><strong>CI/CD and automation:</strong> Improve deployment pipelines, infrastructure automation, monitoring, and observabili