Remote Senior ML Infrastructure / DevOps Engineer

Remote Senior ML Infrastructure / DevOps Engineer at Pathway P Remote Senior ML Infrastructure / DevOps Engineer Posted 4 months ago { this.copied = false; }, 3000); } }" @click="copy()" @keydown.c.window=" if ($event.ctrlKey || $event.altKey || $event.metaKey) return; const tag = document.activeElement.tagName.toLowerCase(); if (!'input', 'textarea', 'select'.includes(tag) && !document.activeElement.isContentEditable) { copy(); } "> Copy Link Copied! C Share: Apply now Please let Pathway know you found this job on RemoteYeah. This helps us get more companies to post jobs here for you. Description: - Pathway is seeking a Senior ML Infrastructure / DevOps Engineer who is passionate about Linux, distributed systems, and scaling GPU clusters. - The role involves owning the infrastructure that supports ML training and inference workloads across multiple cloud providers, from bare-bones Linux to container orchestration and CI/CD. - The engineer will work closely with the R&D team while focusing on production infrastructure, including clusters, networks, storage, observability, and automation. - Responsibilities include operating and scaling GPU-heavy clusters for large-scale training and low-latency inference, designing and automating the ML platform, and solving networking and cost/performance optimization challenges across major cloud providers. - The engineer will design, operate, and scale GPU and CPU clusters, automate infrastructure provisioning, build and maintain robust ML pipelines, implement ML-centric CI/CD, and own monitoring and alerting across training and serving. - The role requires working with terabyte-scale datasets and partnering with ML engineers to productionize their work, as well as participating in on-call rotations for critical ML infrastructure. Requirements: - Candidates should have experience as a Linux/systems/network administrator and be comfortable debugging at OS and network layers. - A minimum of 5 years of experienc